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How do you fix slow MySQL or Postgres queries without rewriting your app?

The common solutions for slow queries are rewriting SQL, adding indexes, or adding read replicas, and each one takes engineering time. Readyset takes a different route. It sits between your application and MySQL or Postgres, caches the results of your most expensive reads, and handles cache updates and refreshes automatically. No application code changes are required.

The Challenge

Why Performance Breaks at Scale

Slow queries rarely stay a database problem. They slow down applications, frustrate users, and drain engineering capacity.

  • Pages, APIs, and dashboards become slower or time out while the database struggles under load.

  • Queries your team already tuned slow down as data and workloads change, creating more work.

  • ORMs and generated SQL can make the most troublesome queries hard to find, let alone fix.

  • Read replicas add cost and replication lag, often without making any single query faster.

  • Every round of manual maintenance pulls engineers away from roadmap work.

Database Load / Query Latency

The Solution

How Readyset Scales Read Performance

Readyset accelerates repeated, expensive reads, without the manual maintenance, reducing database load and keeping your application responsive.

  • Deploys as a proxy in front of MySQL or Postgres with no changes to application code or schema.

  • Caches the queries that matter most and passes everything else through to your primary.

  • Handles cache updates and refreshes within the freshness bounds you set, without invalidation logic.

  • Serves cached reads at sub-millisecond latency, up to 100x faster than querying the database.

  • Learns from query frequency and cost, automatically adjusting what it caches as your workload changes.

Database Load / Query Latency

Built for scale and speed.

Readyset accelerates reads without sacrificing correctness or simplicity.

Drop-in deployment.

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

Fresh results without invalidation code.

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

Caching that adapts to your workload.

Readyset learns from query frequency and execution cost, so caching keeps up with your workload, automatically.

Where to start

Find out what's slowing you down.

RDST runs locally, benchmarks your queries under real load, and tells you which ones to optimize and which to cache. Free to install, no signup.

See how adaptive caching works.

Book a demo and we'll walk through your workload, which queries Readyset would cache, and how that improves your latency and database load.

See how others solve this challenge

Explore guides and engineering stories from teams using Readyset.

LemitFintech, LATAM

After vertical scaling, read replicas, and MEMORY tables stopped keeping up, Lemit used Readyset to reach 109K queries per second on MySQL with under 1ms cached query latency. An 8x read throughput increase, and zero lines of code changed.

Queries Per Second
109K
Lines of Code Changed
0
Cached Query Latency
<1ms

Frequently Asked Questions

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