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Do you need Redis to cache SQL queries?

If you're evaluating Redis or a similar option to speed up MySQL or Postgres queries, Readyset offers the solution without adding caching logic to your application. With a typical Redis cache, your team writes the code to store and retrieve query results and manages cache keys, expiration, and invalidation. Readyset works with the SQL your application already sends, automatically selects queries to cache, and handles cache updates and refreshes for you. No application code changes are required.

The Challenge

Why traditional caching fails at scale

General purpose caches like Redis can help database performance, but they leave your team responsible for cache logic and maintenance.

  • Your application needs logic to check the cache, query the database on a miss, and store the result.

  • Missed invalidations can leave users seeing stale data after the database has changed.

  • New features and query changes can require constant updates to cache keys and invalidation rules.

  • When a popular entry expires, simultaneous cache misses can flood the database unless you build in protection.

  • Tuning TTLs is a constant tradeoff: shorter means more database load, longer means staler data.

The Solution

How Readyset automates query caching

Readyset caches at the SQL layer and handles invalidation logic and maintenance for you.

  • Caches high-impact queries automatically, using the SQL your application already sends.

  • Keeps cached results fresh within the bounds you set, with no invalidation code to write.

  • Supports TTL-based caching for queries that automatic refresh doesn't cover.

  • Combines simultaneous cache misses for the same result into a single database query, preventing cache stampedes.

  • Needs no new client library, cache keys, or application changes.

Performance, without the pain.

Automatic query caching eliminates manual cache rules, constant query monitoring, and ongoing re-tuning as workloads change.

Drop-in deployment.

Point your connection string at Readyset. It speaks the MySQL and Postgres wire protocols, so your application keeps working as written.

Invalidation handled for you.

Set your freshness requirements, and Readyset handles cache updates and refreshes for you.

No query list to maintain.

Readyset automatically selects queries to cache based on your workload and adjusts those choices as traffic changes, without your team adding new caching code.

Where to start

See which queries are worth caching.

RDST shows you which queries are worth caching and how much you can save.

See caching without the invalidation work.

Book a demo and we'll walk through how Readyset improves performance without the manual maintenance.

See how others solve this challenge

Explore guides and engineering stories from teams using Readyset.

Grupo Ótima Digital

Grupo Ótima Digital used Readyset's automatic query cache integration to analyze its workload and cache its most resource-intensive queries, reducing database load by 30% in under a week without application changes.

Database Load Reduction
30%
To Results
<1 week
Application Changes
0

Frequently Asked Questions

Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.