List of Data Lakes on AWS Integrations
This is a list of platforms and tools that integrate with Data Lakes on AWS. This list is updated as of May 2026.
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VE3 DataWise
VE3 Global
Transform SAP data into trusted insights for innovation.DataWise is an innovative solution tailored for the modernization of SAP data, seamlessly linking both ECC and S/4HANA systems with the Databricks Lakehouse, which transforms isolated operational data into a dependable and analytics-ready environment that promotes real-time decision-making and supports AI initiatives. By leveraging SAP-native connectors and providing prebuilt models for various modules including SD, MM, PM, Finance, Ariba, and SuccessFactors, DataWise significantly amplifies value. It utilizes automated ELT pipelines to channel data into Delta Lake, while its MatchX AI-powered data quality engine guarantees data cleansing, standardization, deduplication, and entity matching, thus enhancing data accuracy and completeness on a broad scale. Throughout this process, comprehensive governance is enforced via Unity Catalog, which incorporates fine-grained access controls and meticulously tracks data lineage. Once the data has been cleansed and governed, DataWise facilitates the effortless activation of your SAP data across various business intelligence dashboards, machine learning applications, and event-driven workflows, ensuring that core ERP functions remain unaffected. This cutting-edge approach not only simplifies data access but also empowers organizations to harness their SAP data more effectively for better insights and informed decision-making, ultimately driving business success. -
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Rocket Data Replicate & Sync
Rocket Software
For Data That Stays In Step: Low latency. High fidelity. Maximum consistencyStale, inconsistent, or incomplete data slows decisions, breaks reporting, and undermines AI and customer experiences—especially when core records live on the mainframe while new applications run in the cloud. Rocket® Data Replicate and Sync™ keeps hybrid systems aligned by capturing and delivering data changes as they happen across mainframe, distributed, and cloud environments. Key capabilities: • Real-time change data capture (CDC) to replicate updates with low latency • Bidirectional replication and synchronization to keep systems consistent • Connect legacy sources to modern targets such as AWS and Snowflake without custom code • Reduce mainframe costs by offloading downstream processing to cloud compute • Enterprise security and resilience with encryption and built-in recovery controls Results: fresh, complete, accurate data for faster decisions, smoother modernization, and fewer operational surprises.
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