Applications / Scooter Software / Heimdall Data - Best Selling
Improve database scale out up to 20x without application changes
- Designed for developers, architects, and DBA's, it intelligently manages connections for improved response times and database scale
- Features include query caching, read/write splitting and connection pooling
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The key use cases for Heimdall database proxy include: Connection pooling from serverless applications, including support for multi-user pooling. Automated caching and invalidation to the cache of your choice (e.g. Redis). Read/Write split (i.e. query ...
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Heimdall optimally operates via a two-layer cache system. The first layer (L1) is an in-heap cache, the size of which is controlled by the heap size in the VDB->proxy settings. The second layer (L2) is used as secondary storage and as a means of ...
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