Select a benchmark and fasten your seatbelt.
A true NoSQL database for the most demanding applications
Lockless implementation and an independent memory management stack remove the inefficient reliance on JVM or Linux page cache to deliver consistently lower latency at <1 msec levels.
Shard-per-core, shared-nothing and lock-free designs allow for perfect scale-up linear performance of up to 1,000,000 read/write operations per node.
Automatic failure over, replication, and native multi-datacenter implementation make Scylla the best fault-tolerance distributed database in the industry.
Homogeneous servers roles, along with auto-sharding and great gossip protocol, allow Scylla to scale up and out at the same time.
ScyllaDB has been open sourced since day one and is backed by a growing community of contributors.
"...very quickly we found it is all true—not only were the latency and GC issues completely gone, better HW utilization allowed us to shrink the cluster size by half!"
"Scylla reduced our latency to a level of single-digit milliseconds without changing a single line of code."
"We have observed a huge reduction in read latency by migrating from Cassandra to Scylla which enabled us to easily meet our SLAs.”
CTO & Founder
Raw speed isn’t just a nice benchmark or a low cloud bill. Scylla’s order of magnitude improvement in performance opens a wide range of possibilities. Instead of designing a complex data model to achieve adequate performance, use a straightforward data model, eliminate complexity, and finish your NoSQL project in less time with fewer bugs.
Performance improvements enable not just reduction in hardware resources, but also a reduction in architecture, debugging, and DevOps labor. Scylla combines the simple and familiar Cassandra architecture with new power to build a data model that fits the application, not tweak the model to fit the server.