Query caching with Redis Enterprise

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 problemThe solution
Latency encountered with often-repeatable queriesblue check icon 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 costsblue check icon 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.
Struggle to provide data scale and resilienceblue check icon Redis Enterprise maintains performance at scale and provides a 99.999% uptime SLA to support mission-critical applications.

Why use Redis Enterprise query caching

  • Reduced data latency for more responsive apps
  • Improved performance of repeated SQL queries and microservices apps
  • Decreased burden on systems of record, which lowers database load and saves costs
  • You don’t have to roll your own solution. Redis Enterprise functionality removes the need for your devs to design, implement, and maintain a cache-aside system themselves to handle things like time to live (TTL), cache and database availability, and managing data connections.

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Developer Resources


Related resources


  • What is query caching?
    • Query caching is the process of caching often-repeated database queries to reduce data latency. When you use query caching, you implement the query as the key and the serialized result set as the value. You don’t need to transform data into another data type.
  • How can I speed up SQL queries?
    • SQL queries can be sped up by caching often-repeated simple SQL queries into Redis Enterprise so that the app can access that data from an in-memory datastore in Redis instead of from a slower disk-based database.
  • What are microservices?
    • Microservice architecture is an architectural style for structuring apps as a collection of loosely coupled services that are highly maintainable and testable, independently deployable, bounded by specific business domains, and owned by small teams. A microservice architecture enables the rapid, frequent, and reliable delivery of large, complex apps.
  • Can query caching work with all database types?
    • Query caching can work with most database types, but is especially common with SQL/relational databases like Oracle, MySQL, SQL Server, MariaDB, and DB2.