Global acceleration for your regional databases
Cloudflare Hyperdrive
Hyperdrive accelerates queries to your existing databases with Cloudflare Workers, helping reduce latency no matter where users are connecting from.
Benefits of Cloudflare Hyperdrive
No latency tax
Hyperdrive eliminates redundant round trips to your existing databases, significantly reducing latency and cutting up to hundreds of milliseconds from each query, ensuring faster data retrieval.
Intelligent caching for your read queries
Hyperdrive intelligently caches the most popular queries executed against your database, helping further improve performance and reduce database load.
Integration with databases and libraries
Hyperdrive supports PostgreSQL, MySQL, and compatible databases. It can securely connect to private databases, and works with existing drivers and libraries, eliminating the need to move data or rewrite queries.
HOW IT WORKS
Turn your regional database into a globally-distributed database
Cloudflare Hyperdrive manages the number of global connections to your origin database, helping you intelligently cache and accelerate your query responses while reducing database load.
It does this by creating a pool of connections that can be reused as your applications execute queries. Incoming requests are automatically routed to the nearest connection pool — making your centralized databases feel like they’re global.
See how Cloudflare Hyperdrive performs
Top Hyperdrive use cases
Hyperdrive provides faster routes to your database, intelligently caches popular queries, and helps reduce total database load and costs.
Keep connection pools primed
Create and manage a global pool of connections to your database, so requests are routed as efficiently and quickly as possible.
Cache frequently-run queries on our global network
Automatically cache your most popular read queries on our global network, so your users get lightning-fast results from every location.
Reduce connection overhead
Limit the total number of connections made to your databases, so you can easily minimize overall database load, latency, and associated resource costs.
