The default approach to a slow database is bigger boxes, more instances, or adding read replicas. These approaches add capacity, but they also mean paying for more hardware to execute the same repeated queries. Readyset caches the results of your frequently repeated MySQL and Postgres reads and serves them from memory, allowing you to handle the same traffic on fewer replicas and smaller instances.
Adding hardware is the fastest way to buy capacity, but costs rise faster than performance improves.
Repeated queries consume compute on each run, even when data doesn't change.
Growing datasets and expensive queries can drive up compute needs even when traffic stays flat.
Sizing for peak traffic means paying for capacity that sits idle most of the time.
Each larger instance or added replica becomes a recurring infrastructure cost.
Right-sizing is guesswork when nobody knows which queries are driving load.
Database Load / Query Latency
Readyset reduces repeated database work so you can serve the same traffic without more hardware costs.
Serves repeated reads from memory, so the database stops recomputing the same results.
Adapts what it caches as data and query costs grow, keeping compute flat as your workload scales.
Lets you run fewer replicas on smaller instances, offsetting rising cloud costs.
Offloads database reads without application rewrites or custom cache invalidation logic.
Runs alongside your existing MySQL or Postgres, with no migration.
Database Load / Query Latency
Readyset reduces database spend without adding operational complexity.
Point your connection string at Readyset. It speaks the MySQL and Postgres wire protocols, so your application keeps working as written.
By serving repeated reads from cache, Readyset reduces database work, letting you downsize instances, retire read replicas, and reduce capacity upgrades.
Readyset automatically adjusts what it caches as query frequency and execution cost change, handling new and changing demand without paying for it.
RDST runs locally and ranks your queries by execution cost, so you can see where the compute is actually going before you change anything.
Explore guides and engineering stories from teams using Readyset.
ClickFunnels put Readyset into production in a couple of weeks and reduced load on its Aurora MySQL read replicas by over 85%, bringing utilization down to 6.6% and cutting infrastructure spending by nearly 70%.
Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.