How do you scale database reads without re-architecting your app?
When MySQL or Postgres struggles to keep up with read traffic, adding more hardware can get expensive, while building an application cache, sharding, or moving databases creates substantial engineering work. Readyset serves repeated reads from memory, reducing the pressure on your primary database with less hardware. It handles cache updates and refreshes automatically, so you can scale reads without changing your schema, rewriting application code, or migrating your data.
Why read scaling turns into a project
As read traffic grows, adding database capacity can become expensive, while changing how your application stores and accesses data creates more engineering work.
Vertical scaling buys time, until instance costs outpace your budget or you hit hardware limits.
Read replicas add capacity, along with more infrastructure to manage, and replication lag to handle.
Sharding often requires a new data model, application changes, and a long migration.
Moving to a distributed database requires managing a multi-quarter project and new production risks.
Building caching into your application adds cache keys, expiration rules, and invalidation logic for your team to maintain.
How Readyset scales reads
Readyset takes repeated read work off your database so your application can handle more traffic without adding another project to your team's workload.
Serves cached reads from memory, taking load off the primary and any replicas.
Handles growing read traffic without larger instances or additional replicas.
Scales reads without changing the schema, data model, or application code.
Keeps cached results fresh automatically, with no invalidation logic to maintain.
Passes writes and uncached queries through to your database unchanged.
Scale reads on the database you have.
Drop-in deployment.
Point your connection string at Readyset. It speaks the MySQL and Postgres wire protocols, so your application keeps working as written.
More capacity without a migration.
Readyset serves repeated reads from cache, reducing the work your existing database has to do. Your data stays where it is, with no schema changes or sharding required.
Scale without building caching into your app.
Readyset automatically selects queries to cache and handles updates and refreshes, so your team doesn't have to build and maintain cache keys, expiration rules, or invalidation logic.
Where to start
Frequently Asked Questions
Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.