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Drop-in Deployment

Modern production systems are complex. Application teams are busy. Readyset is designed to deploy as a drop-in component that delivers immediate performance wins without application rewrites, schema changes, or query audits.

The Challenge

The challenge of database performance

Performance improvements traditionally require application rewrites, cross-team coordination, and complexity.

Caching decisions are manual, tedious, and high risk

Complexity and required changes delay deployment

Platform teams are blocked by busy application teams

Systems require app rewrites, schema changes, and query audits

The Solution

Drop-in acceleration with Readyset

Readyset delivers instant database acceleration, without touching your application code.

Automatic query selection powered by QueryPilot™

Platform-led deployment owned by platform or infra teams

No app code changes, new APIs, cache keys, or invalidation logic

Redis-class performance without rewrites or manual maintenance

Deploy your way.

Readyset adapts to your architecture and operational constraints.

At the edge.

Deploy Readyset closer to users to serve read queries with minimal round-trip time for ultra-low latency.

As a replica.

Deploy Readyset in front of or instead of read replicas to offload read traffic and reduce replica sprawl and database costs.

Anywhere.

Deploy Readyset in your private infrastructure, in Readyset’s VPC, in your own VPC.

See how others solve this challenge

Explore guides and engineering stories from teams using Readyset.

Frequently Asked Questions

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

Performance gains without risky changes.

When systems are complex and time is limited, Readyset delivers performance improvements without code changes, schema updates, or downtime.

Revolutionize your database performance with Readyset

Serve requests at sub-millisecond latencies with the modern database scaling and query caching system for MySQL and PostgreSQL.

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