Top Fraxses Alternatives

Manta functions as a comprehensive data lineage platform, acting as the central repository for all data movements within an organization. It is capable of generating lineage from various sources including report definitions, bespoke SQL scripts, and ETL processes. The analysis of lineage is based on real code, allowing for the visualization of both direct and indirect data flows on a graphical interface. Users can easily see the connections between files, report fields, database tables, and specific columns, which helps teams grasp data flows in a meaningful context. This clarity promotes better decision-making and enhances overall data governance within the enterprise.

Pentaho+ is a comprehensive suite of tools designed to facilitate data integration, analytics, and cataloging while enhancing and optimizing quality. This platform ensures smooth data management, fostering innovation and enabling well-informed decision-making. Users of Pentaho+ have reported a threefold increase in data trust, a sevenfold enhancement in business outcomes, and a remarkable 70% boost in productivity. Additionally, the suite's capabilities empower organizations to harness their data more effectively, further driving success in their operations.

The core technology driving modern data integration and management solutions is engineered to quickly connect a variety of both structured and unstructured data sources. This technology facilitates the thorough cataloging of your entire data landscape, ensuring that information stays within its original repositories and is accessed only when necessary, thus removing the need for redundant copies. Users have the ability to create data models that suit their specific requirements, even when utilizing diverse data sources, while simultaneously keeping the complexities of backend systems hidden from the end users. Access to the virtual model is securely provided through standard SQL as well as other formats like REST, SOAP, and OData, making it easier to reach a wide range of data types. It boasts comprehensive capabilities for data integration and modeling, supplemented by an Active Data Catalog that supports self-service for exploring and preparing data and metadata. In addition, this technology includes strong measures for data security and governance, ensures quick and intelligent execution of data queries, and offers real-time delivery of data in multiple formats. The solution also encourages the creation of data marketplaces and effectively separates business applications from data systems, which fosters more informed, data-driven decision-making processes. As a result, this cutting-edge approach significantly improves the agility and responsiveness of organizations in managing their data resources, allowing them to adapt swiftly to changing business needs. Ultimately, it empowers businesses to leverage their data assets more effectively than ever before.

K2View is committed to empowering enterprises to fully utilize their data for enhanced agility and innovation. Our Data Product Platform facilitates this by generating and overseeing a reliable dataset for each business entity as needed and in real-time. This dataset remains continuously aligned with its original sources, adjusts seamlessly to changes, and is readily available to all authorized users. We support a variety of operational applications, such as customer 360, data masking, test data management, data migration, and the modernization of legacy applications, enabling businesses to achieve their goals in half the time and at a fraction of the cost compared to other solutions. Additionally, our approach ensures that organizations can swiftly adapt to evolving market demands while maintaining data integrity and security.

Delphix stands out as a frontrunner in the realm of DataOps. It offers an advanced data platform designed to hasten digital transformation for prominent businesses globally. The Delphix DataOps Platform is compatible with various systems, including mainframes, Oracle databases, enterprise resource planning applications, and Kubernetes containers. By facilitating a broad spectrum of data operations, Delphix fosters modern continuous integration and continuous delivery workflows. Additionally, it streamlines data compliance with privacy laws such as GDPR, CCPA, and the New York Privacy Act. Furthermore, Delphix plays a crucial role in helping organizations synchronize data across private and public clouds, thereby expediting cloud migration processes and enhancing customer experience transformations. This capability not only aids in adopting innovative AI technologies but also positions companies to effectively respond to the ever-evolving digital landscape.

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

TIBCO delivers powerful solutions tailored to meet your needs for performance, throughput, reliability, and scalability, while also providing various technology and deployment options to guarantee real-time data access in essential sectors. The TIBCO Platform seamlessly integrates a continuously evolving set of TIBCO solutions, irrespective of their hosting environment—whether in the cloud, on-premises, or at the edge—into a unified experience that enhances management and monitoring. In this way, TIBCO facilitates the development of essential solutions crucial for the success of large enterprises worldwide, empowering them to excel in a competitive marketplace. This dedication to innovation not only reinforces TIBCO's role as a significant player in the digital transformation landscape but also ensures that businesses are equipped to adapt to ever-changing market demands. By fostering an ecosystem of adaptable tools and services, TIBCO enables organizations to thrive in their respective industries.

Accelerate the development of AI innovations with the cloud-native data integration solutions provided by IBM Cloud Pak for Data. With AI-enhanced data integration functionalities available from any location, the impact of your AI and analytics initiatives is closely tied to the caliber of the underlying data. Leveraging a contemporary container-based framework, IBM® DataStage® within IBM Cloud Pak® for Data guarantees the provision of high-quality data. This offering combines exceptional data integration with DataOps, governance, and analytics into a cohesive data and AI ecosystem. By streamlining administrative processes, it contributes to a reduction in total cost of ownership (TCO). The platform's AI-driven design accelerators, in conjunction with readily available integrations for DataOps and data science services, significantly expedite the pace of AI development. Moreover, its capabilities for parallel processing and multicloud integration facilitate the delivery of consistent data across extensive hybrid or multicloud environments. Additionally, the IBM Cloud Pak for Data platform allows for the effective management of the complete data and analytics lifecycle, incorporating a range of services such as data science, event messaging, data virtualization, and data warehousing, all supported by a parallel engine and automated load balancing. This all-encompassing strategy equips your organization to remain at the forefront of the swiftly changing data and AI landscape, ensuring that you can adapt and thrive in a competitive market.

We simplify and enhance the efficiency of Business Intelligence (BI) and Big Data analytics. Our aim is to equip business users and BI specialists, as well as busy professionals, to work independently when tackling data-centric challenges. Querona serves as a solution for anyone who has experienced the frustration of insufficient data, slow report generation, or long wait times for BI assistance. With an integrated Big Data engine capable of managing ever-growing data volumes, Querona allows for the storage and pre-calculation of repeatable queries. The platform also intelligently suggests query optimizations, facilitating easier enhancements. By providing self-service capabilities, Querona empowers data scientists and business analysts to swiftly create and prototype data models, incorporate new data sources, fine-tune queries, and explore raw data. This advancement means reduced reliance on IT teams. Additionally, users can access real-time data from any storage location, and Querona has the ability to cache data when databases are too busy for live queries, ensuring seamless access to critical information at all times. Ultimately, Querona transforms data processing into a more agile and user-friendly experience.

data.world is a cloud-based platform meticulously crafted for modern data ecosystems, facilitating effortless management of updates, migrations, and ongoing maintenance. The straightforward setup process is enhanced by a growing array of pre-built integrations compatible with all leading cloud data warehouses. When quick results are paramount, teams should focus on tackling real business issues instead of wrestling with complicated data management tools. data.world streamlines the experience for all users, not just data specialists, equipping them to obtain clear, accurate, and timely responses to a wide range of business questions. Our platform boasts a cloud-native data catalog that links disparate and distributed data to familiar business concepts, creating an accessible, cohesive knowledge base for everyone. Additionally, in addition to our enterprise offerings, data.world nurtures the largest collaborative open data community worldwide, where participants work together on various projects, including social bot detection and prestigious data journalism endeavors, fostering innovation and collective learning. This vibrant environment not only promotes knowledge sharing but also empowers users to harness data in inventive and meaningful ways, ultimately driving impactful solutions across different sectors.

A robust and secure data layer for businesses that provides immediate insights for both data and business teams is crucial for success. Stratio's generative AI data fabric encompasses the complete data management lifecycle, which includes data discovery, governance, utilization, and eventual disposal. In numerous organizations, data is often dispersed across various departments, with different applications used for specific functions. Utilizing the capabilities of AI, Stratio effectively identifies and accesses all your data, whether it is stored on-premises or in the cloud, ensuring appropriate data handling throughout the organization. Without the ability to visualize your data as it is generated, you risk falling behind in meeting customer demands. Traditional data infrastructures can take hours to process customer information, which can significantly impede responsiveness. In contrast, Stratio facilitates real-time access to the entirety of your data without the need for relocation, enabling prompt responses while preserving essential context. By merging operational and informational elements within a collaborative platform, organizations can enhance their capabilities to utilize instant extended AI for improved decision-making and agility. Ultimately, adopting such an integrated approach will not only help businesses stay competitive but also enable them to flourish in an increasingly data-centric environment. This shift towards a unified data strategy is essential for achieving long-term success.

Dataddo is a no-code, fully-managed data integration platform designed to seamlessly connect cloud applications, dashboarding tools, data warehouses, and various other storage solutions. It offers three primary products: - Data to Dashboards, which allows users to transfer data from online sources directly into popular dashboarding applications like Tableau, Power BI, and Google Data Studio, enabling rapid insights, and there is a free version available for this service! - Data Anywhere, which facilitates the transfer of data from any source to any destination—whether that be applications to warehouses, dashboards (ETL), between warehouses (ETL), or even reverse ETL from warehouses back to applications. - Headless Data Integration, which empowers enterprises to construct their own data products utilizing the comprehensive Dataddo API, consolidating all integrations into a single platform. The team of engineers at Dataddo oversees all API alterations, actively monitors and resolves issues with pipelines, and creates new connectors at no additional cost within approximately 10 business days. The platform boasts SOC 2 Type II certification and adheres to significant global data privacy regulations, including ISO 27001. With an intuitive interface, users can transition from their initial log-in to fully automated data pipelines, allowing data to flow effortlessly from sources to targets with just a few simple clicks. This efficiency ensures that businesses can focus more on analyzing their data rather than on the complexities of integration.

Avalor’s cutting-edge data fabric enhances the ability of security teams to make faster and more accurate decisions. By effortlessly blending different data sources, including legacy systems, data lakes, data warehouses, SQL databases, and various applications, our architecture provides a holistic view of business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all powered by the strong data fabric. This integration allows all security functions to benefit from swift, dependable, and precise analyses of enterprise data, covering aspects like asset coverage, compliance reporting, ROSI assessment, and vulnerability management, to name a few. Often, security teams depend on numerous specialized tools, each tailored for specific tasks and possessing unique definitions and outputs. The resulting fragmentation of data can hinder prioritization and cloud the detection of issues. Avalor’s solution enables teams to quickly and accurately respond to business inquiries by utilizing data from all areas of the organization, thereby enhancing decision-making and boosting operational efficiency. In a landscape where both clarity and speed are essential, our data fabric emerges as an indispensable tool for contemporary security operations, ensuring that teams can maintain an edge in an ever-evolving threat landscape. Additionally, the comprehensive insights provided by Avalor empower security professionals to proactively combat risks and improve overall organizational resilience.

TENGU acts as a comprehensive data orchestration platform, providing a central hub where all data profiles can collaborate and work more effectively. This platform optimizes data utilization, ensuring quicker access and results. With its innovative graph view, TENGU offers full visibility and control over your data environment, making monitoring straightforward and intuitive. By consolidating all essential tools within a single workspace, it streamlines workflows. Furthermore, TENGU empowers users with self-service capabilities, monitoring features, and automation, catering to various data roles and facilitating operations ranging from integration to transformation, thereby enhancing overall productivity. This holistic approach not only simplifies data management but also fosters a more collaborative environment for teams.

Unify and streamline your data operations. Transform your data ecosystem into a dynamic force. Data Virtuality serves as an integration platform that ensures immediate access to data, centralizes information, and enforces data governance. The Logical Data Warehouse merges both materialization and virtualization techniques to deliver optimal performance. To achieve high-quality data, effective governance, and swift market readiness, establish a single source of truth by layering virtual components over your current data setup, whether it's hosted on-premises or in the cloud. Data Virtuality provides three distinct modules: Pipes Professional, Pipes Professional, and Logical Data Warehouse, which collectively can reduce development time by as much as 80%. With the ability to access any data in mere seconds and automate workflows through SQL, the platform enhances efficiency. Additionally, Rapid BI Prototyping accelerates your time to market significantly. Consistent, accurate, and complete data relies heavily on maintaining high data quality, while utilizing metadata repositories can enhance your master data management practices. This comprehensive approach ensures your organization remains agile and responsive in a fast-paced data environment.

AWS Glue is a fully managed, serverless solution tailored for data integration, facilitating the easy discovery, preparation, and merging of data for a variety of applications, including analytics, machine learning, and software development. The service incorporates all essential functionalities for effective data integration, allowing users to conduct data analysis and utilize insights in a matter of minutes, significantly reducing the timeline from months to mere moments. The data integration workflow comprises several stages, such as identifying and extracting data from multiple sources, followed by the processes of enhancing, cleaning, normalizing, and merging the data before it is systematically organized in databases, data warehouses, and data lakes. Various users, each with their specific tools, typically oversee these distinct responsibilities, ensuring a comprehensive approach to data management. By operating within a serverless framework, AWS Glue removes the burden of infrastructure management from its users, as it automatically provisions, configures, and scales the necessary resources for executing data integration tasks. This feature allows organizations to concentrate on gleaning insights from their data instead of grappling with operational challenges. In addition to streamlining data workflows, AWS Glue also fosters collaboration and productivity among teams, enabling businesses to respond swiftly to changing data needs. The overall efficiency gained through this service positions companies to thrive in today’s data-driven environment.

Adopt a dynamic approach with a premier, scalable enterprise data integration solution that delivers exceptional performance. This platform caters to every aspect of the data integration lifecycle, starting from the project's inception to the successful execution of essential enterprise implementations. PowerCenter, which operates on a metadata-driven framework, accelerates data integration processes, allowing organizations to retrieve information significantly faster than through conventional manual coding methods. It empowers developers and analysts to collaborate effectively, enabling rapid prototyping, iteration, analysis, validation, and project launches in a matter of days instead of months. As a foundational element of your data integration strategy, PowerCenter integrates machine learning capabilities to efficiently oversee and manage deployments across diverse areas and locations, further boosting operational effectiveness and flexibility. This sophisticated level of integration guarantees that organizations can swiftly adapt to evolving data requirements and shifting market conditions, positioning them for sustained success in a competitive landscape. Additionally, the adaptability of this platform ensures that businesses can continuously enhance their data strategies in response to emerging challenges and opportunities.

Unlock the full potential of your data, regardless of where it resides. To genuinely adopt a data-centric methodology, it is crucial to tap into the comprehensive array of information available within your organization, encompassing various applications, cloud platforms, and systems. The CONNX data integration solution allows you to effortlessly access, virtualize, and transfer your data—irrespective of its format or source—while preserving the integrity of your existing systems. Make certain that your critical information is strategically positioned to improve service delivery for your organization, clients, partners, and suppliers alike. This innovative solution facilitates the connection and modernization of legacy data sources, converting them from conventional databases into extensive data environments such as Hadoop®, AWS, and Azure®. Additionally, you have the option to migrate aging systems to the cloud for enhanced scalability, transitioning from MySQL to Microsoft® Azure® SQL Database, SQL Server® to Amazon REDSHIFT®, or OpenVMS® Rdb to Teradata®, ensuring your data remains dynamic and easily accessible across all platforms. By implementing these strategies, you can significantly boost the efficiency and effectiveness of your data utilization efforts while remaining adaptable to future technological advancements. This proactive approach helps your organization stay competitive in an increasingly data-driven world.

If you aim to implement a governed delta lake, build a data warehouse, or shift from a traditional database to a modern cloud data infrastructure, Lyftrondata is your ideal solution. The platform allows you to easily create and manage all your data workloads from a single interface, streamlining the automation of both your data pipeline and warehouse. You can quickly analyze your data using ANSI SQL alongside business intelligence and machine learning tools, facilitating the effortless sharing of insights without the necessity for custom coding. This feature not only boosts the productivity of your data teams but also speeds up the process of extracting value from data. By defining, categorizing, and locating all datasets in one centralized hub, you enable smooth sharing with colleagues, eliminating coding complexities and promoting informed, data-driven decision-making. This is especially beneficial for organizations that prefer to store their data once and make it accessible to various stakeholders for ongoing and future utilization. Moreover, you have the ability to define datasets, perform SQL transformations, or transition your existing SQL data processing workflows to any cloud data warehouse that suits your needs, ensuring that your data management approach remains both flexible and scalable. Ultimately, this comprehensive solution empowers organizations to maximize the potential of their data assets while minimizing technical hurdles.

Enterprise Enabler consolidates diverse information from multiple sources and fragmented data sets into a single, cohesive platform; this encompasses data stored in the cloud, scattered across standalone databases, kept on various instruments, residing in Big Data repositories, or found within numerous spreadsheets and documents. By facilitating seamless integration of all your data, it equips you to make prompt and informed business decisions. The system constructs logical representations of data from its original sources, allowing you to effectively reuse, configure, test, deploy, and monitor everything within one unified environment. This capability enables you to analyze your business data as events progress, which aids in optimizing asset utilization, lowering costs, and refining your business processes. Notably, our deployment timeline is generally 50-90% faster, ensuring that your data sources are interconnected and functioning in a remarkably short period, thus supporting real-time decision-making based on the latest available information. With this innovative solution, organizations can boost collaboration and efficiency, resulting in enhanced overall performance and a competitive edge in the marketplace. Additionally, this strategic integration fosters a culture of data-driven insights, empowering teams to innovate and adapt swiftly to market changes.

Irion EDM presents a highly adaptable, transparent, and reliable framework designed for seamless data fabric integration. By effectively managing costs and utilizing SQL proficiency, it establishes an open and scalable architecture built upon the innovative "declarative" model for overseeing the entire data lifecycle. Setting up a data pipeline becomes a straightforward task, allowing you to collect, manage, and transform data from diverse sources, including databases, applications, social media platforms, and APIs. Moreover, it facilitates easy access to all data without requiring specialized extraction or normalization tools, enhancing user efficiency. The platform features a user-friendly editor that streamlines the configuration of business rules, empowering you to categorize, enhance, and govern your data while developing a centralized dictionary of data and rules. Users can easily visualize the results of their data processing through a dynamic web dashboard offering various templates to display operational metrics, control statistics, and key performance indicators. Additionally, you have the flexibility to decide on the publication model, determining which data assets to distribute and how to do so, while the system proficiently handles the execution of various processes and intermediary steps, promoting efficiency and dependability in your data management operations. This automation and user-centric design elevate Irion EDM as a premier solution for tackling contemporary data management challenges, making it an invaluable resource for organizations striving for data excellence.

An effective self-service reporting and analytics platform can significantly enhance your business's capabilities. Orbit offers a robust and scalable solution for business intelligence and operational reporting. With this software, users have the ability to generate their own reports and insights. Orbit Reporting + Analytics seamlessly integrates with major enterprise resource planning (ERP) systems and leading cloud applications like Salesforce, Oracle E-Business Suite, and PeopleSoft. This platform enables users to swiftly uncover insights from various data sources, recognize potential opportunities, and make informed, data-driven decisions. Ultimately, Orbit empowers organizations to harness their data effectively and drive growth.

Cinchy is the pioneering platform for data collaboration aimed at enterprises, utilized by heavily regulated entities like banks, credit unions, and insurance firms to implement numerous innovative technologies, such as enhanced customer experiences and advanced analytics, in significantly reduced timeframes. Its unique network-based architecture empowers clients with complete oversight of their data, signaling the most significant evolution in enterprise technology deployment since 1979. As the world's first autonomous data fabric, Cinchy's design mimics the functionality of the human brain, effectively rendering data silos and traditional integration methods obsolete by treating data as a cohesive network. This innovative approach is being adopted by some of the most intricate organizations, particularly within the financial sector, enabling them to streamline and mitigate risks associated with transitioning from an application-centric model to a data-centric one. Consequently, organizations can achieve greater agility and responsiveness in addressing their operational needs.

Nexla has revolutionized data engineering by allowing users to obtain ready-to-use data effortlessly, eliminating the necessity for connectors or coding. What sets Nexla apart is its innovative blend of no-code and low-code solutions alongside a developer SDK, fostering collaboration among users with varying expertise on a single platform. Its core offering, data-as-a-product, seamlessly integrates the processes of preparing, monitoring, and delivering data into a cohesive system, irrespective of data speed or type. Trusted by major industry players like JPMorgan, DoorDash, LinkedIn, LiveRamp, and Johnson & Johnson, Nexla plays a crucial role in managing essential data across diverse sectors. As a result, organizations can focus on deriving insights from their data rather than getting bogged down in technical complexities.

AtScale optimizes and simplifies business intelligence, resulting in faster insights, enhanced decision-making, and increased returns on cloud analytics investments. By alleviating the burden of tedious data engineering tasks like data curation and delivery for analysis, AtScale enables teams to concentrate on crucial strategic initiatives. The centralization of business definitions guarantees consistency in KPI reporting across various business intelligence platforms. This innovative solution not only accelerates the insight-gathering process but also manages cloud computing costs more efficiently. You can leverage existing data security measures for analytics, irrespective of where the data resides. With AtScale’s Insights workbooks and models, users can perform multidimensional Cloud OLAP analyses on data from multiple sources without needing to prepare or engineer the data beforehand. Our user-friendly dimensions and measures are crafted to expedite insight generation that directly influences business strategies, allowing teams to make well-informed decisions swiftly. Ultimately, AtScale equips organizations to unlock the full potential of their data while reducing the complexities typically associated with conventional analytics processes. Furthermore, this approach fosters a more agile environment where data-driven insights can swiftly translate into actionable strategies, further enhancing overall business performance.

The Vexata VX‑100F leverages NVMe over fabrics (NVMe-oF) to deliver remarkable economic efficiency and groundbreaking performance. By removing the latency commonly linked to storage controllers, the Vexata architecture guarantees sustained high performance even at large scales, which significantly improves application response times. This high performance is especially vital for real-time analytics, which requires robust data ingestion and processing capabilities; the Vexata Accelerated Data Architecture effectively addresses these demands by offering higher throughput and faster response times. Moreover, Vexata transcends traditional cost/performance barriers with a scalable solid-state storage solution that enhances both application and analytics environments. In addition, VX-Cloud is uniquely positioned as the first and only software-defined platform that supports all phases of Machine Learning, guaranteeing optimal performance and scalability for cognitive and AI-driven tasks while adhering to cloud-scale economic principles. Through these advancements, Vexata is not just evolving but revolutionizing the standards of the data storage industry. As a result, organizations can expect improved data management and analytics capabilities that were previously unattainable.

Varada provides an innovative big data indexing solution that effectively balances performance with cost, eliminating the necessity for extensive data operations. This unique technology serves as a smart acceleration layer within the data lake, which continues to be the primary source of truth and functions seamlessly within the client's cloud infrastructure (VPC). By enabling data teams to fully operationalize their data lake, Varada promotes data democratization and ensures rapid, interactive performance without the hassle of data relocation, modeling, or manual adjustments. A significant advantage of Varada is its ability to automatically and dynamically index relevant data while preserving the structure and detail of the original source. Furthermore, the platform guarantees that any query remains responsive to the ever-evolving performance and concurrency requirements of users and analytics APIs, all while managing costs predictably. It intelligently identifies which queries should be accelerated and which datasets to index and can adaptively modify the cluster to suit demand, thereby enhancing both performance and affordability. This comprehensive approach to data management not only boosts operational efficiency but also empowers organizations to stay nimble in a rapidly changing data environment, ensuring they can swiftly respond to new challenges and opportunities.

DataBahn is a business in the United States that's known for a software product called DataBahn. DataBahn includes training via documentation, live online, webinars, and in person sessions. DataBahn is SaaS and On-Premise software. DataBahn includes phone support and online support. DataBahn is a type of data fabric software. Alternative software products to DataBahn are Dagster+, VirtualMetric, and K2View.

Embedded Data Virtualization empowers applications by offering seamless data connectivity. The CData Query Federation Drivers act as a comprehensive data access layer, simplifying the development of applications and facilitating data retrieval. With just one interface, users can execute SQL queries to access information from over 250 different applications and databases. This driver delivers robust features such as: a unified SQL language and API to interact with various SaaS, NoSQL, relational, and Big Data sources; the ability to merge data from multiple origins without the need for ETL processes; enhanced performance through intelligent push-down in federated queries; and support for more than 250 connections, thanks to the user-friendly CData Drivers. Overall, this solution streamlines the process of data management and integration for developers across diverse platforms.

Oracle Data Service Integrator enables organizations to quickly establish and manage federated data services, providing a seamless way to access various datasets. Built entirely on industry standards, this tool is designed to be declarative and encourages the reuse of data services. It uniquely serves as the only data federation solution that allows for the creation of bidirectional data services that support both reading and writing across multiple data sources. In addition, it features a groundbreaking capability that eliminates the need for coding, allowing users to graphically design both simple and complex adjustments to different data sources with ease. Users benefit from straightforward installation, validation, uninstallation, upgrading, and initiation processes with the Data Service Integrator. Originally known as Liquid Data and AquaLogic Data Services Platform (ALDSP), Oracle Data Service Integrator still includes some elements from these previous titles in its product architecture, installation paths, and components. This approach provides continuity for users who are accustomed to the legacy names, facilitating a smooth navigation experience within the system while enhancing overall functionality. As a result, organizations can maximize their data integration capabilities efficiently and effectively.

Enhance your integration capabilities with the most comprehensive, microservices-focused, API-driven, and AI-empowered enterprise iPaaS on the market. Leveraging the sophisticated CLAIRE engine, IICS addresses a diverse range of cloud-native integration requirements, encompassing data, application, API integration, and Master Data Management (MDM). Our extensive global presence and compatibility with various cloud environments include leading platforms such as Microsoft Azure, AWS, Google Cloud Platform, and Snowflake. With unparalleled enterprise scalability and a solid security infrastructure supported by numerous certifications, IICS is a trusted name in the industry. This enterprise iPaaS offers an array of cloud data management solutions aimed at enhancing efficiency, speed, and scalability. Notably, Informatica has been acknowledged as a Leader in the Gartner 2020 Magic Quadrant for Enterprise iPaaS, highlighting our persistent dedication to excellence. Engage with firsthand testimonials and insights about Informatica Intelligent Cloud Services, and take advantage of our free cloud offerings. Prioritizing our customers in every aspect—including products, services, and support—has allowed us to maintain exceptional customer loyalty ratings for over ten years. As we continue to innovate, we invite you to join us in reshaping the landscape of integration excellence and uncover the transformative potential for your business operations. Together, we can pave the way for a future where seamless integration drives success.

An all-encompassing data virtualization solution for enterprises allows for effortless access to diverse data sources while creating a solid base of datasets and IT-managed data services that cater to nearly any application. The TIBCO® Data Virtualization platform acts as a modern data layer, adeptly addressing the fluctuating needs of organizations that are constantly adapting their architectures. By removing obstacles, it promotes uniformity and encourages the reuse of information by offering on-demand access to all data through a cohesive logical layer that is secure, well-governed, and available to a broad spectrum of users. With immediate access to essential data, organizations can extract actionable insights and react promptly in real-time. Users can conveniently search for and select from a self-service directory of virtualized business data, leveraging their preferred analytics tools to achieve their objectives. This transformation allows them to focus more on analyzing data instead of the labor-intensive process of data extraction. Additionally, this efficient process not only boosts productivity but also empowers teams to make swift and well-informed decisions, ultimately enhancing overall operational effectiveness. The integration of such a system can lead to a more agile and responsive organization, ready to tackle the challenges of a fast-paced business environment.

Aggua functions as an AI-enhanced data fabric platform aimed at equipping both data and business teams with easy access to their information, building trust, and providing actionable insights for more informed decision-making based on data. With just a few clicks, you can uncover essential details about your organization's data framework instead of remaining unaware of its complexities. Obtain insights into data costs, lineage, and documentation effortlessly, allowing your data engineers to maintain their productivity without interruptions. Instead of spending excessive time analyzing how changes in data types affect your pipelines, tables, and overall infrastructure, automated lineage facilitates your data architects and engineers in reducing the time spent on manual log checks, allowing them to concentrate on implementing necessary infrastructure improvements more effectively. This transition not only simplifies operations but also fosters better collaboration among teams, leading to a more agile and responsive approach to tackling data-related issues. Additionally, the platform ensures that all users, regardless of their technical background, can engage with data confidently and contribute to an organization's data strategy.

Dagster serves as a cloud-native open-source orchestrator that streamlines the entire development lifecycle by offering integrated lineage and observability features, a declarative programming model, and exceptional testability. This platform has become the preferred option for data teams tasked with the creation, deployment, and monitoring of data assets. Utilizing Dagster allows users to concentrate on executing tasks while also pinpointing essential assets to develop through a declarative methodology. By adopting CI/CD best practices from the outset, teams can construct reusable components, identify data quality problems, and detect bugs in the early stages of development, ultimately enhancing the efficiency and reliability of their workflows. Consequently, Dagster empowers teams to maintain a high standard of quality and adaptability throughout the data lifecycle.

Veracity Data Fabric provides a secure platform for managing data across both cloud environments and on-premise infrastructures. It allows users to consolidate various types of information, such as data streams and individual data objects, with secure sharing capabilities that enhance usability. Users can choose to utilize their own data or seamlessly combine it with other datasets, providing them with complete autonomy over their choices. The platform is equipped with advanced security measures and grants access to a diverse range of data and analytics providers tailored for numerous sectors, which empowers users to dictate how and when they interact with these tools. Access permissions are effectively managed through SAS (shared access signature) keys, which give users the ability to control who can access their data. All actions related to the data stored within the container are meticulously recorded in a ledger, enabling container owners to track and review activities for added transparency. Moreover, these keys can only be shared with users who have been authenticated on the platform, ensuring that security and data integrity remain paramount. This thorough system not only allows users to retain control over their data but also encourages collaboration when it is beneficial. Ultimately, Veracity Data Fabric stands out as a comprehensive solution for data management, addressing both security and accessibility needs.

Fabric enables a swift and effortless connection between your contemporary IT ecosystem and your essential data and transaction systems. The intricate nature of our IT infrastructures mirrors the complexities of the world we live in. CIOs frequently face a heightened level of system intricacy that becomes challenging to navigate after years of evolving market dynamics, technological advancements, and corporate mergers. This intricacy not only consumes a significant portion of IT budgets but also hampers organizations from effectively meeting real-time business demands. While it's unrealistic to expect an overnight resolution to this complexity, Adaptigent's Adaptive Integration Fabric serves as a safeguard, shielding your business from the challenges posed by your critical data sources. By utilizing this solution, you can fully harness the capabilities of your legacy systems, which are vital to your organization, all while mitigating the risks associated with their complexity. This approach not only fosters operational efficiency but also positions your company to adapt to future challenges with greater agility.

Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.

Teradata has introduced VantageCloud, a comprehensive cloud analytics platform designed to accelerate innovation through data utilization. By integrating artificial intelligence, machine learning, and real-time data processing, VantageCloud enables businesses to transform raw data into actionable insights. The platform supports a wide range of applications, including advanced analytics, business intelligence, and cloud migration, while facilitating seamless deployment across public, hybrid, or on-premise environments. With Teradata’s robust analytical tools, organizations can fully leverage their data, improving operational efficiency and uncovering new growth opportunities across various industries. This versatility positions VantageCloud as an essential resource for businesses aiming to excel in an increasingly data-centric world. As companies continue to navigate the complexities of their respective markets, the dynamic capabilities of VantageCloud will play a crucial role in their success.

Oracle Big Data SQL Cloud Service enables organizations to efficiently analyze data across diverse platforms like Apache Hadoop, NoSQL, and Oracle Database by leveraging their existing SQL skills, security protocols, and applications, resulting in exceptional performance outcomes. This service simplifies data science projects and unlocks the potential of data lakes, thereby broadening the reach of Big Data benefits to a larger group of end users. It serves as a unified platform for cataloging and securing data from Hadoop, NoSQL databases, and Oracle Database. With integrated metadata, users can run queries that merge data from both Oracle Database and Hadoop or NoSQL environments. The service also comes with tools and conversion routines that facilitate the automation of mapping metadata from HCatalog or the Hive Metastore to Oracle Tables. Enhanced access configurations empower administrators to tailor column mappings and effectively manage data access protocols. Moreover, the ability to support multiple clusters allows a single Oracle Database instance to query numerous Hadoop clusters and NoSQL systems concurrently, significantly improving data accessibility and analytical capabilities. This holistic strategy guarantees that businesses can derive maximum insights from their data while maintaining high levels of performance and security, ultimately driving informed decision-making and innovation. Additionally, the service's ongoing updates ensure that organizations remain at the forefront of data technology advancements.

Quickly set up cloud environments customized for immediate development, testing, and improved efficiency for both IT and business teams. Reduce the risks and costs linked to managing your data lake by implementing strong data governance practices, which include thorough end-to-end data lineage for business users. Enhance cost-effectiveness by ensuring your data lakes, data warehouses, or big data projects are fed with clean, dependable, and timely data, while also streamlining applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job creation, incorporate type-ahead search capabilities, and ensure backward compatibility, all within a design that supports execution across diverse platforms. Create data integration workflows and uphold governance and quality standards through an easy-to-use design that tracks and suggests usage trends, thereby improving user experience. Additionally, increase visibility and information governance by providing complete and authoritative insights into your data, supported by proof of lineage and quality, which allows stakeholders to make well-informed decisions based on precise information. By implementing these strategies, organizations can cultivate a more adaptable and data-centric culture, ultimately driving innovation and growth. This approach not only empowers teams but also aligns business objectives with data-driven decisions.

The Hammerspace Global Data Environment provides a comprehensive solution for global visibility and accessibility of network shares, seamlessly linking remote data centers with public cloud services. It distinguishes itself as the only truly global file system that incorporates metadata replication, file-specific data services, an advanced policy engine, and efficient data orchestration, allowing users to access their data precisely when and where it is required. Utilizing intelligent policies, Hammerspace manages and orchestrates data resources effectively, enhancing overall performance. A key feature is the objective-based policy engine, which boosts file-specific data services and orchestration capabilities. These features enable organizations to leverage new and innovative operational methods that were previously constrained by financial and performance barriers. Furthermore, users have the flexibility to select which files to move or replicate to specific locations, either through the objective-based policy engine or on an as-needed basis, offering unmatched control over data management. This cutting-edge approach not only optimizes data utilization but also significantly enhances the overall efficiency of business operations, paving the way for smarter decision-making and resource allocation.

The Velox Software Suite facilitates seamless data migration and system integration across an organization. It features two main applications: Migration Studio VXm, which empowers users to manage data migrations effectively, and Integration Server VXi, designed to automate the processing and integration of data. Users can extract data from various sources and route it to multiple destinations effortlessly. This suite provides a near real-time, consolidated view of all data, eliminating the need to navigate between different sources. Additionally, it enables users to physically merge data from various origins, streamline storage locations, and adapt data transformations in accordance with established business rules. With these capabilities, organizations can enhance their operational efficiency significantly.

Adaptive Data Virtualization™ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Q™, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.

Oracle Big Data Preparation Cloud Service is an all-encompassing managed Platform as a Service (PaaS) that streamlines the processes of data ingestion, correction, enhancement, and publication for large data sets, all within an intuitive interface that offers complete transparency. This service integrates effortlessly with other Oracle Cloud offerings, such as the Oracle Business Intelligence Cloud Service, which enhances the potential for in-depth analysis downstream. Among its core features are profile metrics and visual representations that become accessible after data ingestion, allowing users to see a visual summary of each profiled column alongside the results of duplicate entity evaluations conducted on the entire data set. The Home page of the service makes it easy for users to visualize governance tasks and access essential runtime metrics, data health reports, and alerts that keep them updated on their data’s status. Furthermore, users can oversee their transformation processes to ensure files are processed correctly, while also gaining comprehensive insights into the entire data journey, from initial ingestion through various enrichment stages to final publication. This platform is designed to equip users with the necessary tools for effective data management, empowering them to take charge of their data preparations confidently. Ultimately, Oracle Big Data Preparation Cloud Service not only enhances data handling efficiency but also fosters a robust environment for data governance.

Utilihive is a cloud-native platform for big data integration, provided as a managed service in the Software as a Service (SaaS) model. Renowned as the leading Enterprise Integration Platform as a Service (iPaaS), Utilihive is tailored specifically for applications within the utility and energy sectors. The platform not only supplies the essential technical components such as connectivity, integration, data ingestion, and management of data lakes but also includes ready-to-use integration content like connectors, data flows, orchestrations, and a utility data model. Furthermore, it offers energy services along with monitoring and reporting dashboards, facilitating rapid deployment of data-centric services while streamlining operational processes for users. By leveraging these features, organizations can achieve greater efficiency and responsiveness in managing their energy and utility data needs.

VMware Cloud Director is recognized as a leading platform for cloud service delivery, widely adopted by many elite cloud providers to effectively manage their cloud offerings. This innovative platform enables these providers to deliver secure, scalable, and flexible cloud resources to a diverse range of businesses and IT teams around the world. By collaborating with our Cloud Provider Partners, users can harness VMware technology in the cloud, driving innovation with the capabilities offered by VMware Cloud Director. The platform prioritizes a policy-driven approach that ensures businesses can access isolated virtual resources, utilize independent role-based authentication, and maintain precise control over their services. With an emphasis on compute, storage, networking, and security from a policy-oriented standpoint, tenants gain advantages from securely partitioned virtual resources and tailored management of their public cloud environments. Additionally, the ability to extend data centers across multiple locations and manage resources through a user-friendly single-pane interface, which provides extensive multi-site insights, significantly boosts operational effectiveness. This holistic strategy not only enables organizations to refine their cloud approaches but also elevates the quality of service delivery in a competitive landscape. Ultimately, VMware Cloud Director empowers enterprises to seamlessly adapt to evolving technological demands.

No matter where your data resides—be it in cloud platforms, legacy systems, or big data repositories like Hadoop—SAS Data Management equips you with essential tools to retrieve the information you need. By implementing data management standards once, you can consistently apply them, leading to an efficient and unified approach to enriching and consolidating data without incurring additional costs. IT staff frequently encounter tasks that extend beyond their usual responsibilities, but with SAS Data Management, business users are empowered to update data, modify workflows, and perform their own analyses, allowing your team to focus on other critical projects. This solution also includes a detailed business glossary, along with SAS and third-party metadata management and lineage visualization features, ensuring that everyone in the organization is on the same page. The seamless integration of SAS Data Management technology eliminates the hassle of managing disparate solutions; instead, all elements—from data quality to data federation—function within a cohesive framework, enabling smooth operations. Such an integrated system not only promotes collaboration but also significantly boosts overall productivity throughout your enterprise, making it easier to achieve your strategic goals. By streamlining processes and facilitating communication, SAS Data Management helps your organization respond more swiftly to changing business needs.

Gathr serves as a comprehensive Data+AI fabric, enabling businesses to swiftly produce data and AI solutions that are ready for production. This innovative framework allows teams to seamlessly gather, process, and utilize data while harnessing AI capabilities to create intelligence and develop consumer-facing applications, all with exceptional speed, scalability, and assurance. By promoting a self-service, AI-enhanced, and collaborative model, Gathr empowers data and AI professionals to significantly enhance their productivity, enabling teams to accomplish more impactful tasks in shorter timeframes. With full control over their data and AI resources, as well as the flexibility to experiment and innovate continuously, Gathr ensures a dependable performance even at significant scales, allowing organizations to confidently transition proofs of concept into full production. Furthermore, Gathr accommodates both cloud-based and air-gapped installations, making it a versatile solution for various enterprise requirements. Recognized by top analysts like Gartner and Forrester, Gathr has become a preferred partner for numerous Fortune 500 firms, including notable companies such as United, Kroger, Philips, and Truist, reflecting its strong reputation and reliability in the industry. This endorsement from leading analysts underscores Gathr's commitment to delivering cutting-edge solutions that meet the evolving needs of enterprises today.

Easily link SaaS, cloud, and on-premises applications for seamless functionality. Transform any business process by quickly embedding intelligence. Swiftly generate new APIs utilizing your current enterprise data or applications, and by merging these with external APIs, you can create groundbreaking solutions. Picture the ability to connect your SaaS, cloud, and on-premises applications in a matter of days rather than months. Think about the immense potential of leveraging trusted applications and expanding their capabilities through APIs to foster innovative solutions. Now, consider the possibilities when this is integrated with artificial intelligence. This could significantly boost innovation, enhance customer experiences, and create fresh business opportunities. Discover how Jitterbit Harmony fuses APIs, integration, and artificial intelligence into a cohesive platform for API integration, paving the way for a more efficient future. By utilizing such a platform, businesses can streamline operations and adapt to changing market demands with greater agility.

Arundo Enterprise offers a comprehensive and adaptable software platform aimed at creating customized data products for users. By integrating real-time data with advanced machine learning and various analytical tools, we guarantee that the results from these models are used to guide business strategies effectively. The Arundo Edge Agent enhances industrial connectivity and data analysis capabilities, even in challenging, remote, or offline environments. With Arundo Composer, data scientists can easily deploy desktop analytical models into the Arundo Fabric cloud with a single command, simplifying the process significantly. Moreover, Composer allows organizations to develop and manage live data streams, which can be seamlessly incorporated with existing data models for improved functionality. Acting as the core cloud-based hub, Arundo Fabric facilitates the oversight of deployed machine learning models, data streams, and edge agents, while also providing straightforward access to additional applications. Arundo's extensive selection of SaaS products is crafted to optimize return on investment, with each solution designed to harness the core strengths of Arundo Enterprise. This holistic approach ensures that businesses can more effectively utilize data to enhance decision-making processes and foster innovation, ultimately leading to a competitive edge in their respective markets. By streamlining data management and analytics, organizations can remain agile and responsive to ever-changing industry demands.