Top IBM Cloud Pak for Data Alternatives

Teradata VantageCloud: The Complete Cloud Analytics and AI Platform VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward. VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve. By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.

BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.

Microsoft 365 for Individuals is a powerful ecosystem that blends AI innovation, productivity, and creativity into one cohesive experience. With familiar tools like Word, Excel, PowerPoint, Outlook, and OneNote enhanced by Copilot AI, users can draft, analyze, and organize tasks with unprecedented ease. Microsoft’s AI integration helps users overcome creative blocks, turn ideas into polished designs, and work more efficiently across every device. Through OneDrive’s 1TB of cloud storage per person, all files, photos, and documents remain secure and accessible from anywhere. Microsoft Designer and Clipchamp enable users to create visually stunning content and edit videos with professional precision, all without needing advanced design skills. The addition of Microsoft Defender ensures that privacy and cybersecurity remain at the forefront, protecting devices and personal data. Each plan—from Basic to Premium—offers flexibility to match different lifestyles and budgets while maintaining access to the full suite of AI-powered tools. With support for multiple devices, family sharing options, and real-time collaboration, Microsoft 365 connects people across home, work, and learning environments. Copilot AI personalizes productivity by offering insights, summaries, and creative suggestions that evolve with user habits. Altogether, Microsoft 365 redefines how individuals create, communicate, and manage their lives in a connected digital world.

Domo empowers all users to leverage data effectively, enhancing their contributions to the organization. Built on a robust and secure data infrastructure, our cloud-based platform transforms data into visible and actionable insights through intuitive dashboards and applications. By facilitating the optimization of essential business processes swiftly and efficiently, Domo inspires innovative thinking that drives remarkable business outcomes. With the ability to harness data across various departments, organizations can foster a culture of data-driven decision-making that leads to sustained growth and success.

Microsoft Azure is a dynamic cloud computing platform designed to streamline the development, testing, and management of applications with speed and security. By leveraging Azure, you can creatively turn your ideas into effective solutions, taking advantage of more than 100 services that support building, deploying, and managing applications across various environments such as the cloud, on-premises, or at the edge, all while using your preferred tools and frameworks. The ongoing innovations from Microsoft ensure that your current development requirements are met while also setting the stage for your future product goals. With a strong commitment to open-source values and support for all programming languages and frameworks, Azure grants you the flexibility to create and deploy in a manner that best fits your needs. Whether your infrastructure is on-premises, cloud-based, or edge-focused, Azure is equipped to evolve alongside your existing setup. It also provides specialized services for hybrid cloud frameworks, allowing for smooth integration and effective management. Security is a key pillar of Azure, underpinned by a skilled team and proactive compliance strategies that are trusted by a wide range of organizations, including enterprises, governments, and startups. With Azure, you gain a dependable cloud solution, supported by outstanding performance metrics that confirm its reliability. Furthermore, this platform not only addresses your immediate requirements but also prepares you for the future's dynamic challenges while fostering a culture of innovation and growth.

Store, sign, and secure your documents on Box, the leading Intelligent Content Management platform. Built for the AI-first era, Box simplifies your tech stack and conserves cost with one secure, end-to-end solution for the entire content lifecycle.

Posit is the open-source data science company committed to building smarter tools that help individuals and organizations unlock the full potential of data. Its flagship editor, Positron, offers an immersive coding experience that combines live console interaction with robust debugging, project management, and production capabilities. Across its product ecosystem, Posit supports publishing dashboards, deploying APIs, sharing Shiny applications, and distributing analytical content securely throughout an organization. Open-source remains foundational to Posit’s mission, giving users the transparency, flexibility, and community-driven innovation necessary for long-term success. Enterprise offerings ensure teams can scale their workflows with proper governance, authentication, and performance guarantees. Cloud services further streamline collaboration by making it simple to store, access, and share work without infrastructure overhead. Posit supports a wide range of industries—from pharmaceuticals and finance to public sector and research—helping each build reproducible, trusted insights. Customer case studies show how organizations like AstraZeneca and municipal governments use Posit tools to accelerate impact. The company also invests heavily in education, offering cheat sheets, hangouts, videos, and community forums that empower practitioners at every skill level. With millions of users worldwide, Posit continues to strengthen the future of open-source data science.

Data integration for hybrid cloud environments ensures efficient and dependable synchronization between your private and public cloud infrastructures. This process occurs in real-time and employs change data capture along with streaming capabilities. Striim, created by a seasoned team from GoldenGate Software, boasts extensive expertise in managing essential enterprise tasks. It can be deployed as a distributed platform within your infrastructure or hosted entirely in the cloud. The scalability of Striim can be easily modified to meet your team's requirements. It adheres to stringent security standards, including HIPAA and GDPR compliance, ensuring data protection. Designed from its inception to cater to contemporary enterprise demands, Striim effectively handles workloads whether they reside on-premise or in the cloud. Users can effortlessly create data flows between various sources and targets using a simple drag-and-drop interface. Additionally, real-time SQL queries empower you to process, enrich, and analyze streaming data seamlessly, enhancing your operational efficiency. This flexibility fosters a more responsive approach to data management across diverse platforms.

The Alteryx AI Platform is set to usher in a revolutionary era of analytics. By leveraging automated data preparation, AI-driven analytics, and accessible machine learning combined with built-in governance, your organization can thrive in a data-centric environment. This marks the beginning of a new chapter in data-driven decision-making for all users, teams, and processes involved. Equip your team with a user-friendly experience that makes it simple for everyone to develop analytical solutions that enhance both productivity and efficiency. Foster a culture of analytics by utilizing a comprehensive cloud analytics platform that enables the transformation of data into actionable insights through self-service data preparation, machine learning, and AI-generated findings. Implementing top-tier security standards and certifications is essential for mitigating risks and safeguarding your data. Furthermore, the use of open API standards facilitates seamless integration with your data sources and applications. This interconnectedness enhances collaboration and drives innovation within your organization.

The Databricks Data Intelligence Platform empowers every individual within your organization to effectively utilize data and artificial intelligence. Built on a lakehouse architecture, it creates a unified and transparent foundation for comprehensive data management and governance, further enhanced by a Data Intelligence Engine that identifies the unique attributes of your data. Organizations that thrive across various industries will be those that effectively harness the potential of data and AI. Spanning a wide range of functions from ETL processes to data warehousing and generative AI, Databricks simplifies and accelerates the achievement of your data and AI aspirations. By integrating generative AI with the synergistic benefits of a lakehouse, Databricks energizes a Data Intelligence Engine that understands the specific semantics of your data. This capability allows the platform to automatically optimize performance and manage infrastructure in a way that is customized to the requirements of your organization. Moreover, the Data Intelligence Engine is designed to recognize the unique terminology of your business, making the search and exploration of new data as easy as asking a question to a peer, thereby enhancing collaboration and efficiency. This progressive approach not only reshapes how organizations engage with their data but also cultivates a culture of informed decision-making and deeper insights, ultimately leading to sustained competitive advantages.

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.

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.

A wide array of products exists to support businesses in achieving their objectives, but for organizations aiming to cultivate a data-driven culture while optimizing efficiency and reducing expenses, Fraxses stands out as the premier distributed data platform globally. With Fraxses, clients gain instant access to data, unlocking valuable insights through a solution that can implement either a data mesh or a data fabric architecture. Visualize a data mesh as a framework that interconnects diverse data sources, enabling them to function seamlessly as one integrated entity. Unlike other platforms that primarily focus on data integration and virtualization, Fraxses offers a decentralized architecture that distinguishes it from competitors. While Fraxses effectively supports traditional data integration techniques, the trend is shifting toward an innovative model where data is delivered directly to users, thereby negating the need for a centralized data lake or platform. This forward-thinking approach not only empowers users with greater autonomy but also enhances the ease of data access throughout the organization, fostering a more agile and responsive data environment. As businesses continue to evolve, embracing such innovative solutions becomes crucial for maintaining a competitive edge in the market.

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 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.

Design, implement, and manage AI models while improving decision-making capabilities across any cloud environment. IBM Watson Studio facilitates the seamless integration of AI solutions as part of the IBM Cloud Pak® for Data, which serves as IBM's all-encompassing platform for data and artificial intelligence. Foster collaboration among teams, simplify the administration of AI lifecycles, and accelerate the extraction of value utilizing a flexible multicloud architecture. You can streamline AI lifecycles through ModelOps pipelines and enhance data science processes with AutoAI. Whether you are preparing data or creating models, you can choose between visual or programmatic methods. The deployment and management of models are made effortless with one-click integration options. Moreover, advocate for ethical AI governance by guaranteeing that your models are transparent and equitable, fortifying your business strategies. Utilize open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to elevate your initiatives. Integrate development tools like prominent IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces alongside programming languages such as Python, R, and Scala. By automating the management of AI lifecycles, IBM Watson Studio empowers you to create and scale AI solutions with a strong focus on trust and transparency, ultimately driving enhanced organizational performance and fostering innovation. This approach not only streamlines processes but also ensures that AI technologies contribute positively to your business objectives.

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.

Merge Data Science, Business Intelligence, and Data Management Abilities into a Unified, Self-Service Platform. Analance serves as a comprehensive platform that features a wide array of scalable and powerful tools, integrating Data Science, Advanced Analytics, Business Intelligence, and Data Management into one cohesive solution. This platform delivers essential analytical capabilities, ensuring that insights drawn from data are readily available to all users, maintaining consistent performance over time, and enabling businesses to achieve their goals seamlessly. With a strong emphasis on transforming quality data into precise forecasts, Analance equips both citizen data scientists and professional data scientists with ready-made algorithms alongside a customizable programming environment. Furthermore, its intuitive design makes it easier for organizations to harness the full potential of their data resources. Company Overview Ducen IT specializes in delivering advanced analytics, business intelligence, and data management solutions to Fortune 1000 companies through its innovative data science platform, Analance.

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.

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.

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.

A platform dedicated to Machine Learning and Predictive Analytics significantly improves decision-making grounded in data and drives business expansion through advanced artificial intelligence within a cohesive framework of machine learning and big data analytics. OpenText Magellan harnesses the power of AI technologies to provide predictive analytics via intuitive and flexible data visualizations that amplify the effectiveness of business intelligence. The deployment of artificial intelligence software simplifies the challenges associated with big data processing, delivering crucial business insights that resonate with the organization’s primary objectives. By enhancing business functions with a customized mix of features—including predictive modeling, tools for data exploration, data mining techniques, and analytics for IoT data—companies can leverage their data to enhance decision-making based on actionable insights. This all-encompassing method not only boosts operational efficiency but also cultivates an environment of innovation driven by data within the organization. As a result, organizations may find themselves better equipped to adapt to changes in the market and swiftly respond to emerging trends.

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.

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.

Azure Synapse is the evolution of Azure SQL Data Warehouse, offering a robust analytics platform that merges enterprise data warehousing with Big Data capabilities. It allows users to query data flexibly, utilizing either serverless or provisioned resources on a grand scale. By fusing these two areas, Azure Synapse creates a unified experience for ingesting, preparing, managing, and delivering data, addressing both immediate business intelligence needs and machine learning applications. This cutting-edge service improves accessibility to data while simplifying the analytics workflow for businesses. Furthermore, it empowers organizations to make data-driven decisions more efficiently than ever before.

Neural Designer is a comprehensive platform for data science and machine learning, enabling users to construct, train, implement, and oversee neural network models with ease. Designed to empower forward-thinking companies and research institutions, this tool eliminates the need for programming expertise, allowing users to concentrate on their applications rather than the intricacies of coding algorithms or techniques. Users benefit from a user-friendly interface that walks them through a series of straightforward steps, avoiding the necessity for coding or block diagram creation. Machine learning has diverse applications across various industries, including engineering, where it can optimize performance, improve quality, and detect faults; in finance and insurance, for preventing customer churn and targeting services; and within healthcare, for tasks such as medical diagnosis, prognosis, activity recognition, as well as microarray analysis and drug development. The true strength of Neural Designer lies in its capacity to intuitively create predictive models and conduct advanced tasks, fostering innovation and efficiency in data-driven decision-making. Furthermore, its accessibility and user-friendly design make it suitable for both seasoned professionals and newcomers alike, broadening the reach of machine learning applications across sectors.

Dataiku is an advanced platform designed for data science and machine learning that empowers teams to build, deploy, and manage AI and analytics projects on a significant scale. It fosters collaboration among a wide array of users, including data scientists and business analysts, enabling them to collaboratively develop data pipelines, create machine learning models, and prepare data using both visual tools and coding options. By supporting the complete AI lifecycle, Dataiku offers vital resources for data preparation, model training, deployment, and continuous project monitoring. The platform also features integrations that bolster its functionality, including generative AI, which facilitates innovation and the implementation of AI solutions across different industries. As a result, Dataiku stands out as an essential resource for teams aiming to effectively leverage the capabilities of AI in their operations and decision-making processes. Its versatility and comprehensive suite of tools make it an ideal choice for organizations seeking to enhance their analytical capabilities.

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.

Administer, supervise, manage, and protect the applications, data, and IT assets crucial to your organization, extending from edge environments to the cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting focus and resources from routine IT maintenance to innovative pursuits. Revamp your applications, enhance operational efficiency, and utilize data to move from mere insights to significant actions. Speed up your value realization by deploying Kubernetes on a large scale, offering integrated persistent data storage that facilitates the modernization of applications across bare metal, virtual machines, in your data center, on any cloud, or at the edge. By systematizing the extensive process of building data pipelines, you can derive insights more swiftly. Inject DevOps flexibility into the machine learning lifecycle while providing a unified data architecture. Boost efficiency and responsiveness in IT operations through automation and advanced artificial intelligence, ensuring strong security and governance that reduce risks and decrease costs. The HPE Ezmeral Container Platform delivers a powerful, enterprise-level solution for scalable Kubernetes deployment, catering to a wide variety of use cases and business requirements. This all-encompassing strategy not only enhances operational productivity but also equips your organization for ongoing growth and future innovation opportunities, ensuring long-term success in a rapidly evolving digital landscape.

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.