by Angela Guess

According to a recent press release, “Hazelcast, the leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 16 million server starts per month, and Striim, provider of the only end-to-end, real-time data integration and streaming analytics platform, today announced the launch of the Hazelcast Striim Hot Cache. This integration enables real-time, push-based propagation of changes from the database to the cache. For organizations that manage high volumes of data, Hazelcast Striim Hot Cache ensures continuous synchronization between the cache and its underlying database, providing consistency with the system of record. With Hazelcast Striim Hot Cache, companies are able to reduce the latency of propagation of data from a backend database into a Hazelcast cache to milliseconds. This provides organizations with the flexibility to run multiple applications off a single database, keeping Hazelcast cache refreshes up-to-date while adhering to low latency SLAs.”

The release continues, “Traditionally, if there is a one-to-one relationship between an application and its underlying database, and no other applications or systems are able to make changes to that database, then the intermediary cache stays in-sync with the database. However, if changes are made to the database directly by other applications, then data held in the cache immediately becomes stale. A common workaround to this problem is “time to live” or TTL. This is when companies purge documents from the cache after a period of time. For many this is a “near enough” solution. However, the process lowers cache efficiency and is inadequate for businesses that manage high transaction data or need to maintain high levels of customer experience.”

Read more at PRWeb.

Photo credit: Hazelcast