Power your mission-critical applications with the best traits of Cassandra at 10x the performance and low tail-latency at all times.
with ScyllaDB co-founders Dor Laor and Avi Kivity
Lockless implementation and an independent memory management stack remove the inefficient reliance on JVM or Linux page cache to deliver consistently low latency.
Automatic failover and replication across multiple nodes and data-centers makes for reliable fault tolerance.
Written in C++ to squeeze every bit of performance from hardware and allow up to 1,000,000 read/write operations per node.
Auto-sharding, homogeneous servers, and native multi-datacenter implementation allow seamless linear scaling without compromising on application downtime or performance.
Apache Cassandra's wire protocol, a rich polyglot of drivers, and integration with Spark, Presto, and Graph tools make for resource-efficient and performance-effective coding.
ScyllaDB has been open sourced since day one and is backed by a growing community of contributors.
Workload conditioning provides an umbrella of dynamic scheduling algorithms to minimize database operation latency jitter and reduce compaction streaming and repair time.
C++ framework boots effectiveness to capture up to 10x throughput over existing infrastructure.
Fully automated and dynamic tuning effectively manages internal resource, requires zero configuration, and enhances performance straight out of the box.
"When we heard of a Cassandra drop-in-replacement we were skeptics. But 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
|What makes "a good" vs. a great database deployment?|
Cassandra: Multi-region and fault tolerant
Scylla: Multi-region and fault tolerant
Cassandra: Homogeneous nodes scale to hundreds of nodes per cluster
Scylla: Homogeneous nodes scale to hundreds of nodes per cluster. Additionally, Scylla scales up with the number of cores in our server
Cassandra: Unpredictable and unbounded latency, mainly the result of the JVM’s GC
Scylla: C++, shared-nothing and lockless novel design allows < 1 millisecond tail latency
Cassandra: Limited per-node performance. Cannot fully exploit the disk/memory/cpus
Scylla: Fully asynchronous core engine with shard-per-core architecture allows perfect scale-up
Cassandra: Intricate tuning, endless compactions and GC storms makes it hard to maintain
Scylla: Out-of-the-box tuning, isolation and SLA between background and foreground jobs free DevOps time during day and lets them sleep at night
May 2, 2017 | Network World
April 19, 2017 | 451 Research
March 9, 2017 | The New Stack
March 9, 2017 | Network World
Getting started takes only a few minutes. Scylla has an installer for every major platform and is well documented. If you get stuck, we’re here to help.