Query caching with Redis Enterprise

Use Redis Enterprise to decrease app response times with minimal development effort

Query caching reduces data latency by providing fast queries against a slower database. That can be valuable in many programming scenarios, but it is especially useful when devs need to speed up repeated SQL queries from a relational database or during a migration to microservices starting with legacy systems. Use Redis Enterprise for query caching to reduce data latency and to power faster, scalable, simplified applications.

How query caching works in a microservices app

Queries from each microservice or app are sent to a Redis Enterprise database acting as a cache.

When the Redis Enterprise database contains the data, it is delivered to the app. The query is used as the key and the serialized result set as the value in a string data structure. And it does this super-fast, with sub-millisecond latency.

If Redis Enterprise doesn’t contain the data, the database processes it and then stores it in Redis Enterprise, so that future requests are retrieved fast.

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Redis Enterprise solves your challenges

The problem

The solution

Latency encountered with often-repeatable queries

Redis Enterprise provides a real-time cache and database that offers low-latency caching to speed up repeatable SQL queries.

The lack of system-wide standardization across many microservices, which results in high maintenance costs

Redis Smart Cache improves development velocity and reduces costs as a transparent no-code solution for query caching with Redis Enterprise. It also provide insights about JDBC workloads, so devs can make smart decisions on which queries to cache.