How you win by using Cube Store: Part 1

The text discusses the features and benefits of using Cube Store, a purpose-built distributed, fast, and reliable data store, as part of Cube deployments. It highlights the importance of in-memory cache and query queue management in ensuring low latency and scalability for identical queries. The article explains how these features work together to provide excellent support for embedded analytics and real-time analytics use cases. Additionally, it covers the reasons why Cube decided to move away from using Redis as a data store for its in-memory cache and query queue, including operations and reliability considerations, client stability and code complexity considerations, and the presence of Cube Store in many deployments. The article provides a migration guide for users who still have Redis as part of their Cube deployment, outlining the steps needed to upgrade to Cube Store.

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