AI - ReadySet

Simplifying database scaling and optimization with automatic caching and edge computing through ReadySet's partially-stateful, streaming dataflow technology.

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About ReadySet

ReadySet is a technology company that specializes in automatic database caching and edge computing. They develop a solution that simplifies the process of scaling database performance, reducing query latency, and optimizing page load times for global user bases. ReadySet acts as a Content Delivery Network (CDN) for databases, distributing query results closer to end users based on regional access patterns.

Their unique approach to cache maintenance eliminates the need for Time-to-Live (TTL) settings or complicated eviction logic. Instead, they use your database's replication stream to automatically refresh the cache as updates occur. This feature, known as partially-stateful, streaming dataflow, ensures that the cached data remains consistent with the latest database changes.

ReadySet is wire-compatible with both PostgreSQL and MySQL databases and requires zero code changes to implement. Companies can connect ReadySet to their existing databases, change their application's connection string, and start caching. With ReadySet, businesses can serve millions of requests per second at sub-millisecond latency from a single machine and drastically reduce the number of queries being served by their backend.

ReadySet has received endorsements from industry leaders such as Spencer Kimball (CEO at Cockroach Labs), Adam Gross (Previously CEO at Heroku), Josh Leslie (CEO at Gremlin), Armon Dadgar (CTO at Hashicorp), Chirag Dhull (Head of Product at Chainlink Labs), and Roopak Venkatakrishnan (Head of Platforms and Infrastructure at Bolt). These industry experts praise ReadySet for its ability to make database scaling simpler, distribute query results closer to end users, offload traffic from databases, and bring MySQL and PostgreSQL to the edge.

Backed by top investors, ReadySet Technology Inc. is committed to providing innovative solutions that help companies overcome the challenges of scaling their databases and optimizing their performance.

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