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Accelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.

Rivery's ETL platform streamlines the consolidation, transformation, and management of all internal and external data sources within the cloud for businesses. Notable Features: Pre-built Data Models: Rivery offers a comprehensive collection of pre-configured data models that empower data teams to rapidly establish effective data pipelines. Fully Managed: This platform operates without the need for coding, is auto-scalable, and is designed to be user-friendly, freeing up teams to concentrate on essential tasks instead of backend upkeep. Multiple Environments: Rivery provides the capability for teams to build and replicate tailored environments suited for individual teams or specific projects. Reverse ETL: This feature facilitates the automatic transfer of data from cloud warehouses to various business applications, marketing platforms, customer data platforms, and more, enhancing operational efficiency. Additionally, Rivery's innovative solutions help organizations harness their data more effectively, driving informed decision-making across all departments.

The most precise, comprehensive, and prompt data yields the greatest insights. Minitab Connect equips data users throughout the organization with self-service capabilities to convert a variety of data types into interconnected pipelines that support analytics efforts and enhance collaboration at all levels. Users can effortlessly merge and analyze information from numerous sources, including databases, both on-premises and cloud applications, unstructured data, and spreadsheets. With automated workflows, data integration becomes quicker and offers robust tools for data preparation that facilitate groundbreaking insights. Intuitive and adaptable data integration tools empower users to link and combine information from a wide array of sources, such as data warehouses, IoT devices, and cloud storage solutions, ultimately leading to more informed decision-making across the entire organization. This capability not only streamlines data management but also encourages a culture of data-driven collaboration among 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.

SquaredUp serves as a comprehensive observability hub, eliminating blind spots and breaking down data silos. By leveraging data mesh technology and advanced data visualization techniques, SquaredUp provides IT and engineering teams with a singular platform to access all essential information. It seamlessly integrates data from various components of your tech ecosystem without the complications typically associated with data migration. In contrast to conventional monitoring tools that depend on data warehouses, SquaredUp retains your data in its original location, connecting directly to each source to index and combine information effectively through a data mesh. This allows teams to efficiently search, visualize, and analyze data across all their applications in one centralized location, empowering them to manage infrastructure, application, and product performance with comprehensive oversight. Explore further at squaredup.com. Benefits include: > Innovative data visualization > Connectivity to over 100 data sources > Ability to integrate any custom data source through Web API > Observability across multiple cloud environments > Monitoring of costs > Unlimited creation of dashboards > No limits on the number of monitors Highlighted features comprise: > Pre-built dashboards ready for use > User-friendly and adaptable dashboard creation tools > Continuous real-time monitoring > Summarized high-level views > In-depth object drill-down capabilities > Alerts through various platforms (Slack, Teams, email, etc.) > SQL analytics functionality > Enhanced collaboration tools to streamline team efforts and communication.

Streamline Your Data Operations: Discover the first no-code data pipeline platform designed to enhance informed decision-making. Integrate.io stands out as the sole comprehensive suite of data solutions and connectors that facilitates the straightforward creation and management of pristine, secure data pipelines. By leveraging this platform, your data team can significantly boost productivity with all the essential, user-friendly tools and connectors available in one no-code data integration environment. This platform enables teams of any size to reliably complete projects on schedule and within budget constraints. Among the features of Integrate.io's Platform are: - No-Code ETL & Reverse ETL: Effortlessly create no-code data pipelines using drag-and-drop functionality with over 220 readily available data transformations. - Simple ELT & CDC: Experience the quickest data replication service available today. - Automated API Generation: Develop secure and automated APIs in mere minutes. - Data Warehouse Monitoring: Gain insights into your warehouse expenditures like never before. - FREE Data Observability: Receive customized pipeline alerts to track data in real-time, ensuring that you’re always in the loop.

Adoki streamlines the data transfer process across multiple platforms and systems, such as data warehouses, databases, cloud services, Hadoop environments, and real-time streaming applications, supporting both immediate and scheduled transfers. It adapts to the specific requirements of your IT infrastructure, ensuring that data transfer or replication tasks are optimized for the best possible timing. With its centralized management capabilities, Adoki allows users to oversee and control data transfers, which can lead to a leaner team size and increased operational efficiency. This efficient methodology not only conserves valuable time but also significantly reduces the likelihood of errors in data management. Additionally, by enhancing the precision of data handling, Adoki contributes to a more reliable and effective data ecosystem overall.

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.

Census acts as a powerful operational analytics platform that bridges the gap between your data warehouse and the applications you use daily. It promotes shared access to customer information among sales, marketing, and customer success teams, ensuring that data remains consistently fresh without the need for technical support. With Census, you can easily publish SQL and dbt models from your data warehouse, eliminating the need for coding. This solution alleviates the burden of interpreting external APIs and managing complex scripts, allowing you to focus on your core business goals. Rather than wrestling with yet another source of truth, you can utilize the data already housed within your warehouse. The integration process is seamless; you simply select a destination application, map your data accordingly, and you are good to go. Census transforms your data into a resource that extends beyond just quarterly reports, empowering all members of your organization to take proactive measures. With real-time metrics available across various applications, your business operations can improve, leading to enhanced user satisfaction and increased revenue. Additionally, this efficient approach not only encourages collaboration among different teams but also stimulates innovation by simplifying the process of making data-driven decisions, ultimately fostering a culture of insight and growth. As a result, organizations can respond more swiftly to market changes and customer needs.

Etleap was developed on AWS to facilitate the integration of data warehouses and lakes like Redshift, Snowflake, and S3/Glue. Their offering streamlines and automates the ETL process through a fully-managed service. With Etleap's intuitive data wrangler, users can manage data transformations for analysis without any coding required. Additionally, Etleap keeps a close eye on data pipelines to ensure their availability and integrity. This proactive management reduces the need for ongoing maintenance and consolidates data from over 50 distinct sources into a unified database warehouse or data lake. Ultimately, Etleap enhances data accessibility and usability for businesses aiming to leverage their data effectively.

Qlik Replicate stands out as a sophisticated solution for data replication that streamlines the process of ingesting data from diverse sources and platforms, thereby guaranteeing effortless integration with essential big data analytics tools. It provides both bulk replication and real-time incremental replication utilizing change data capture (CDC) technology, ensuring timely data availability. With its innovative zero-footprint architecture, Qlik Replicate reduces the burden on critical systems while allowing for uninterrupted data migrations and database upgrades. This replication feature is instrumental for transferring and consolidating data from production databases to either updated versions or alternate computing environments, including transitions from SQL Server to Oracle. Furthermore, the effectiveness of data replication in alleviating the load on production databases is notable, as it enables the movement of data to operational data stores or data warehouses, which in turn supports enhanced reporting and analytics capabilities. By leveraging these advanced features, organizations can significantly improve their overall data management strategies, leading to greater performance and dependability across their technological frameworks, which ultimately supports informed decision-making.

Alooma equips data teams with extensive oversight and management functionalities. By merging data from various silos into BigQuery in real time, it facilitates seamless access. Users can quickly establish data flows in mere minutes or opt to tailor, enhance, and adjust data while it is still en route, ensuring it is formatted correctly before entering the data warehouse. With strong safety measures implemented, there is no chance of losing any events, as Alooma streamlines error resolution without disrupting the data pipeline. Whether managing a handful of sources or a vast multitude, Alooma’s platform is built to scale effectively according to your unique needs. This adaptability not only enhances operational efficiency but also positions it as an essential asset for any organization focused on data-driven strategies. Ultimately, Alooma empowers teams to leverage their data resources for improved decision-making and performance.

TROCCO serves as a comprehensive modern data platform that empowers users to effortlessly integrate, transform, orchestrate, and manage data through a single, unified interface. It features a wide range of connectors that cover various advertising platforms, including Google Ads and Facebook Ads, alongside cloud services like AWS Cost Explorer and Google Analytics 4, in addition to supporting multiple databases such as MySQL and PostgreSQL, as well as data warehouses like Amazon Redshift and Google BigQuery. A key aspect of TROCCO is its Managed ETL functionality, which streamlines the data importation process by facilitating bulk ingestion of data sources and providing centralized management for ETL settings, thus eliminating the need for individual configurations. Moreover, TROCCO is equipped with a data catalog that automatically gathers metadata from the data analysis framework, resulting in a comprehensive catalog that improves the accessibility and utility of data. Users can also create workflows that allow them to systematically arrange tasks, ensuring a logical order and combination that enhances the efficiency of data processing. This functionality not only boosts productivity but also enables users to maximize the value of their data assets, fostering a more data-driven decision-making environment. Ultimately, TROCCO stands out as an essential tool for organizations aiming to harness the full potential of their data resources effectively.

MeridianLink® Data Connect delivers automated, secure access to origination data directly into your data warehouse—ready for reporting, analytics, BI tools, and integrations. With 65+ normalized tables, a comprehensive data dictionary, and a user‑friendly data model, Data Connect keeps your data accessible and in‑house, making it easier to generate insights, streamline reporting, and make faster, smarter business decisions. Fast Access to Historical Data Access up to three years of MeridianLink Consumer and Opening data, delivered with a clear data model and dictionary so teams can start reporting and analysis right away. Always‑Current Data Delivery Automated daily updates—including intra‑day changes—keep analytics and reporting current without added manual effort. In‑House Analytics & Reporting Centralized data fuels BI tools, reporting, analytics, and integrations, giving teams the insight needed to uncover opportunities and improve results. Unified View of Origination Data Combine origination data with other enterprise systems to build stronger KPIs, improve efficiency, and track applications across their full lifecycle. Secure, Scalable Data Sharing Enterprise‑grade data sharing via Databricks Delta Sharing ensures fast, compliant, and reliable integrations. Enable Advanced Capabilities Power AI, fraud detection, and marketing solutions with immediate access to structured data—no custom builds required. Built‑In Intelligence When combined with MeridianLink® Insight, Data Connect delivers instant analysis and visualizations that help financial institutions drive growth and make smarter strategic decisions.

Currently, there is significant dialogue about how leading companies are utilizing big data to secure a competitive advantage in their respective markets. Your company aspires to align itself with these industry frontrunners. However, it is important to note that over 80% of big data projects fall short of reaching production due to their complex and resource-intensive nature, which can span several months or even years. The technology utilized is highly intricate, and sourcing individuals with the necessary expertise can be both costly and challenging. Additionally, ensuring the automation of the entire data workflow, from its origin to its final application, is crucial for achieving success. This encompasses the automation of migrating data and workloads from legacy Data Warehouse systems to cutting-edge big data platforms, as well as overseeing and managing complex data pipelines in real-time settings. In contrast, relying on disparate point solutions or custom development approaches can lead to higher expenses, reduced flexibility, excessive time consumption, and the need for specialized skills for both construction and maintenance. Ultimately, embracing a more efficient strategy for managing big data not only has the potential to lower costs but also to significantly boost operational productivity. Furthermore, as organizations increasingly turn to big data solutions, a proactive approach can position your company to better navigate the competitive landscape.

Xactly Connect provides a seamless integration experience tailored to the technological frameworks of diverse organizations. It facilitates easy connections to multiple systems like CRM, ERP, HCM, and payroll, thereby establishing a consolidated source of truth for all Sales Performance Management (SPM) activities. The query syntax and ETL processes in Xactly Connect are based on ANSI SQL, a standard familiar to many IT teams, which helps reduce the learning curve associated with using the platform. Moreover, the web-based interface of the Xactly Connect Data Integration Platform offers developers and compensation managers a visual aid for managing data integration workflows effectively. This capability not only boosts operational efficiency but also automates and refines data flows throughout the comprehensive range of Xactly solutions. Users can effortlessly extract critical insights and integrate them with various downstream systems, such as payroll, data warehouses, and CRMs. Additionally, Xactly Connect features pre-built connectors for widely used platforms like Salesforce, NetSuite, and Microsoft, which further enhances the user experience. Its adaptability, combined with user-friendliness, positions Xactly Connect as an indispensable tool for enterprises aiming to improve their data management strategies in today's fast-paced business environment. In this way, organizations can ensure that their data management practices are not only efficient but also scalable for future growth.

Stitch is a cloud-centered service designed for the extraction, transformation, and loading of data. It is utilized by over a thousand organizations to transfer billions of records each day from various SaaS databases and applications into data warehouses or data lakes, streamlining their data management processes. This widespread adoption highlights its effectiveness in facilitating seamless data integration for diverse business needs.

WhereScape is a powerful solution designed to assist IT organizations, regardless of their size, in leveraging automation to expedite the construction, deployment, management, and upkeep of data infrastructure. With its automation capabilities, WhereScape is relied upon by over 700 clients globally, streamlining the process by removing monotonous and time-intensive tasks like hand-coding that typically plague data infrastructure initiatives. As a result, organizations can achieve the delivery of data warehouses, vaults, and lakes in mere days or weeks, significantly reducing the traditional timelines that often span months or even years. This efficiency not only accelerates project timelines but also enhances overall productivity within the IT sector.

5X is an all-in-one data platform that provides users with powerful tools for centralizing, cleansing, modeling, and effectively analyzing their data. The platform is designed to enhance data management processes by allowing seamless integration with over 500 data sources, ensuring efficient data flow across all systems through both pre-built and custom connectors. Covering ingestion, warehousing, modeling, orchestration, and business intelligence, 5X boasts an intuitive interface that simplifies intricate tasks. It supports various data movements from SaaS applications, databases, ERPs, and files, securely and automatically transferring data to data warehouses and lakes. With its robust enterprise-grade security features, 5X encrypts data at the source while also identifying personally identifiable information and implementing column-level encryption for added protection. Aimed at reducing the total cost of ownership by 30% when compared to custom-built solutions, the platform significantly enhances productivity by offering a unified interface for creating end-to-end data pipelines. Moreover, 5X empowers organizations to prioritize insights over the complexities of data management, effectively nurturing a data-centric culture within enterprises. This emphasis on efficiency and security allows teams to allocate more time to strategic decision-making rather than getting bogged down in technical challenges.

Peliqan.io offers a comprehensive data platform designed for business teams, IT service providers, startups, and scale-ups without the need for a data engineer. Users can seamlessly connect to various databases, data warehouses, and SaaS applications. Through a user-friendly spreadsheet interface, individuals can investigate and merge data efficiently. Business users are empowered to integrate multiple data sources, sanitize information, modify personal versions, and execute transformations. Additionally, power users can leverage SQL for any task, while developers benefit from low-code options to build interactive data applications, implement data writing capabilities, and incorporate machine learning features. This platform truly enhances data accessibility and usability for all types of users.

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.

Effortlessly align data across your operational systems using a versatile, event-driven strategy that integrates smoothly with your existing workflow while reducing dependencies. Simplify the complex multi-step tasks you face by simply downloading the binary to kickstart your development process. Conduit pipelines continuously track changes in databases, data warehouses, and other sources, allowing your data applications to react to these updates in real-time. With Conduit connectors, transferring data to and from any necessary production datastore is a breeze. If you encounter a datastore that doesn't meet your needs, the intuitive SDK allows you to enhance Conduit to fit your requirements. You can choose to deploy it as an independent service or incorporate it into your current infrastructure, ensuring peak performance and adaptability. This level of flexibility not only streamlines your data synchronization but also empowers your organization to meet its unique data management needs effectively. With the right tools at your disposal, your data operations can achieve new heights of efficiency.

Introducing a groundbreaking cloud-native ETL solution designed to efficiently load and transform data for your cloud data warehouse. We have redefined the traditional ETL model by creating a tool that operates directly in the cloud environment. Our cutting-edge platform harnesses the nearly limitless storage capabilities of the cloud, allowing your projects to scale to unprecedented levels. Operating within the cloud environment simplifies the complexities involved in transferring large volumes of data significantly. Experience the remarkable capability of processing a billion rows of data in just fifteen minutes, and enjoy a swift transition from launch to operational functionality in as little as five minutes. In an era where competition is fierce, organizations must effectively utilize their data to reveal critical insights. Matillion streamlines your data transformation process by efficiently extracting, migrating, and transforming your data in the cloud, enabling you to gain new insights and improve your strategic decision-making. This positions businesses to remain competitive and agile in an ever-changing market landscape, ensuring they are always ready to adapt to new challenges and opportunities.

Airbyte is an innovative data integration platform that employs an open-source model, aimed at helping businesses consolidate data from various sources into their data lakes, warehouses, or databases. Boasting an extensive selection of more than 550 pre-built connectors, it empowers users to create custom connectors with ease using low-code or no-code approaches. The platform is meticulously designed for the efficient transfer of large data volumes, consequently enhancing artificial intelligence workflows by seamlessly integrating unstructured data into vector databases like Pinecone and Weaviate. In addition, Airbyte offers flexible deployment options that ensure security, compliance, and governance across different data models, establishing it as a valuable resource for contemporary data integration challenges. This feature is particularly significant for organizations aiming to bolster their data-driven decision-making capabilities, ultimately leading to more informed strategies and improved outcomes. By streamlining the data integration process, Airbyte enables businesses to focus on extracting actionable insights from their data.

Talend Pipeline Designer is a user-friendly web application that facilitates the transformation of raw data into a more analytic-friendly format. By enabling the creation of reusable data pipelines, it effectively extracts, enhances, and modifies data from diverse sources before routing it to chosen data warehouses, which can subsequently be utilized to create insightful dashboards for organizations. This tool significantly reduces the time needed to build and implement data pipelines efficiently. Featuring a visual interface, it allows users to design and preview both batch and streaming processes directly in their web browsers. The architecture is designed to scale effectively, accommodating the latest trends in hybrid and multi-cloud environments while boosting productivity with real-time development and debugging features. Additionally, the live preview capability offers instant visual feedback, which aids in quickly identifying and resolving data issues. You can also speed up decision-making with thorough dataset documentation, quality assurance practices, and effective promotion methods. The platform is equipped with built-in functions that enhance data quality and simplify the transformation processes, thus making data management an effortless and automated affair. Ultimately, Talend Pipeline Designer not only streamlines data workflows but also empowers organizations to uphold high standards of data integrity with minimal effort. This innovative tool is a game changer for organizations aiming to leverage their data for strategic advantages.

Nao is a cutting-edge integrated development environment for data that utilizes artificial intelligence, crafted specifically for data teams, effectively combining a coding interface with immediate access to your data warehouse. This platform allows for the writing, testing, and management of data-related code while ensuring complete contextual awareness, and it supports a diverse range of data warehouses, including Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, Nao elevates the traditional data warehouse console by introducing features such as schema-aware SQL auto-completion, data previews, SQL worksheets, and simple navigation across multiple data warehouses. Central to Nao is its intelligent AI agent, which possesses an in-depth understanding of your data schema, including tables, columns, metadata, and the surrounding context of your codebase or data stack. This AI agent is adept at generating SQL queries, building complete data transformation models akin to those in dbt workflows, refactoring existing code, refreshing documentation, executing data quality checks, and running data-diff tests. Additionally, it has the capability to reveal insights and support exploratory analytics, all while rigorously upholding data structure and quality standards. With its extensive features, Nao not only simplifies workflows for data teams but also significantly boosts their productivity and efficiency in managing data operations. This innovative approach fundamentally transforms how data professionals interact with and leverage their data resources.

Cloudera DataFlow for the Public Cloud (CDF-PC) serves as a flexible, cloud-based solution for data distribution, leveraging Apache NiFi to help developers effortlessly connect with a variety of data sources that have different structures, process that information, and route it to many potential destinations. Designed with a flow-oriented low-code approach, this platform aligns well with developers’ preferences when they are crafting, developing, and testing their data distribution pipelines. CDF-PC includes a vast library featuring over 400 connectors and processors that support a wide range of hybrid cloud services, such as data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring a streamlined and adaptable data distribution process. In addition, the platform allows for version control of the data flows within a catalog, enabling operators to efficiently manage deployments across various runtimes, which significantly boosts operational efficiency while simplifying the deployment workflow. By facilitating effective data management, CDF-PC ultimately empowers organizations to drive innovation and maintain agility in their operations, allowing them to respond swiftly to market changes and evolving business needs. With its robust capabilities, CDF-PC stands out as an indispensable tool for modern data-driven enterprises.

Hybrid enterprises can make even simple data requests slow and risky: data lives across platforms, creating silos, duplicate pipelines, and inconsistent controls. Teams waste time finding the right data, reconciling reports, and explaining KPIs for audits and AI. Rocket® DataEdge™ is a data integration platform that combines data intelligence (metadata + lineage), data integration, and data virtualization to deliver complete, fresh, and trusted data when, where, and how it’s needed. It connects and serves data across environments while adding business context and visibility. Key capabilities: • Catalog metadata with business terms, owners, and tags • Lineage and impact visibility to support audits and change control • Integrate and deliver data across mainframe, distributed, and cloud • Virtualize and access data in place to reduce data movement • Policy-based security and governance across systems Outcome: faster time to insight, lower integration cost/risk, and more trusted analytics/AI.

Eppo simplifies the execution of reliable and impactful experiments by automating the analysis, diagnostics, and investigations directly within your data warehouse. The platform features a centralized dashboard that allows your entire team to track various elements of each experiment, such as the metrics impacted, their current status, confidence intervals, and other relevant metadata. With Eppo, you can analyze traffic splits, confirm the setup, and develop hypotheses, among other capabilities. The experiment data is set up using SQL snippets, providing a consistent and dependable source of truth for all involved metrics. All required data calculations take place within your warehouse, ensuring that no raw events leave your system. Setting up experiment assignments in Eppo is also seamless, utilizing SQL snippets that extract from your data warehouse. Whether you are using LaunchDarkly or a custom solution, Eppo can utilize any data that resides in your warehouse. Moreover, Eppo generates clear and easily understandable reports, making it user-friendly for team members without extensive statistical training to interpret and act upon. This accessibility fosters a collaborative environment and promotes informed decision-making across various teams, ultimately enhancing the overall effectiveness of your experimentation efforts. With Eppo, the integration of experimentation into your workflow becomes not just feasible but also efficient, guiding your team towards data-driven success.