The Hybrid Tables intelligently identify whether a query is transactional or analytical, optimizing query performance. They enable users to maintain application and workflow state in real-time, serve low-latency data for their apps, and build lightweight transactional apps. The platform is designed to reduce operational burden, data silos, and governance gaps, and to simplify the transfer of data between various systems.
Key takeaways:
- Snowflake, the AI Data Cloud company, has announced the general availability of Hybrid Tables, a part of its Unistore platform, which unifies transactional and analytical data in a single platform.
- Unistore is designed to simplify data architectures and ensure consistent security and governance across data, reducing the need for separate transactional and analytical databases.
- Hybrid Tables intelligently identify whether a query is transactional or analytical, providing optimal query performance and enabling fast, high-concurrency point operations to support transactional workloads.
- Several companies, including Siemens AG, Mutual of Omaha, and Panther, are already using Hybrid Tables to simplify their architectures and improve their security and governance posture.