Readyset is a database scalability and query caching platform designed to dramatically accelerate query performance without requiring code changes. Based on nearly a decade of research at MIT on database caching and incremental view maintenance, it is built to work seamlessly with PostgreSQL and MySQL. Readyset allows applications to scale instantly by caching query results and incrementally updating them as data changes. 

The net result is that Readyset supercharges database performance, enabling businesses to scale effortlessly without code changes or infrastructure overhauls. By transforming existing databases into high-speed, low-latency powerhouses, Readyset slashes query times, reduces infrastructure costs, and ensures seamless scalability, so teams can focus on building, not battling performance bottlenecks.

Key Benefits

• 100x Faster Queries – Transform slow queries into near-instant results by caching query responses at the SQL level.
• Zero Code Changes – No need to rewrite application logic or change your database schema. Readyset integrates seamlessly with your existing database.
• Cost-Efficient Scaling – Reduce database load and scale horizontally without expensive infrastructure upgrades. No data migrations into distributed databases or year-long projects deploying and managing key-value stores are needed, resulting in a 70% reduction in database infrastructure costs by reducing the size of your primary database, cutting your serverless database spend, or slashing your read replica costs.
• Live Incremental Updates – Cached results stay fresh with minimal overhead, ensuring up-to-date responses without cache invalidation.
• Drop-In Compatibility – Works natively with PostgreSQL and MySQL, requiring no modifications to application queries.

How Readyset Works

1. Intercept Queries—Readyset sits between your application and database, capturing read queries in real-time. Alternatively, it integrates with well-known query routers, such as ProxySQL or client-based query routing, to act as an ultra-fast Read Replica.
2. Cache & Optimize – Frequently used queries are stored in an intelligent cache, enabling sub-millisecond response times.
3. Incremental View Maintenance – Instead of invalidating cached results, Readyset subscribes to the WAL and Binlog replication stream and updates the caches dynamically, with no drop in latency, as the underlying data changes.
4. Seamless Integration – Applications query the database as usual, with Readyset optimizing reads behind the scenes.

Deployment Options

• Readyset Cloud – Fully managed service available from AWS Marketplace. Highly available, with automated updates. It also supports BYO-Cloud Accounts, where the Readyset cache is deployed in your VPC or cloud account for those with more stringent data privacy requirements.
• Readyset Private – Deploy a self-hosted Readyset in your environment for complete control and compliance. Pay a licensing fee for support and priority access to new features, including performance enhancements and security patches.

Ideal Use Cases

• High-Traffic or Micro-Service Web Apps – Speed up API responses and improve user experience.
• Platform team – Optimize caching and database scaling without application team involvement.
• Reporting – Run queries for reporting with up-to-date results in real-time without overwhelming your primary database.
• Legacy applications – Scale up Legacy applications without developers.

Get Started

Experience Readyset's performance boost today. Try it in your environment with zero code changes and see how easily you can scale your database.

View Case Studies

Contact Us: hello@readyset.io