ScyllaDB V brings new performance, resilience, and ecosystem advantages that resolve longstanding challenges of legacy NoSQL databases.ScyllaDB V is Here
ScyllaDB V is ScyllaDB’s latest evolution of NoSQL databases – powering instantaneous experiences with massive distributed datasets. Innovations for extreme scale deliver new levels of performance, safety, resilience, and elasticity.
The ultimate goal of ScyllaDB V is to scale latency-sensitive workloads quickly and safely – enabling gigantic clusters to be managed with ease. This enhanced elasticity is especially powerful for ScyllaDB Cloud (DBaaS) as well as ScyllaDB Operator (Kubernetes) with ScyllaDB Enterprise or Open Source.
ScyllaDB V brings new performance, resilience, and ecosystem advantages that resolve longstanding challenges of NoSQL databases. ScyllaDB Open Source 5.0 and ScyllaDB Enterprise 2022.1 are the first milestones for ScyllaDB V.
At petabyte scale, ScyllaDB recently achieved single-digit millisecond P99 latency with 7M TPS – and that benchmarking did not involve the latest performance optimizations or powerful new EC2 instances.
Modern infrastructure is fundamentally different than when legacy NoSQL databases were designed over a decade ago. Organizations now have access to servers with an increasing abundance of vCPUs, RAM, I/O, and fast NVMe storage.
While legacy NoSQL databases are effectively insulated from the underlying hardware, ScyllaDB V fully capitalizes on processor, memory, network, and storage innovation to maximize performance and use less infrastructure.
ScyllaDB was built from the ground up in C++ with the full knowledge and experience of how to take advantage of modern multicore, multi-processor NUMA server hardware and fundamental features of the Linux operating system.
The result: ScyllaDB scales up as well as out. Users maintain smaller clusters, reducing admin/maintenance as well as cost. For instance, Comcast went from 962 Cassandra nodes to only 78 ScyllaDB nodes. This results in anywhere from 2x to 10x savings over prior solutions.