Built on the foundation of Apache Cassandra, Datastax Enterprise is the scale-out data infrastructure for enterprises that need to handle any workload on-premises and in any cloud on a continuously available, active-everywhere data platform.
“Datastax Enterprise 6.8 has made significant advancements in performance, ops management, and Cassandra workloads, but most importantly it adds a Kubernetes operator. This will help enterprises succeed with mission-critical, cloud-native deployments irrespective of the scale, infrastructure, or data model requirements,” said Ed Anuff, Chief Product Officer at Datastax. “Datastax Enterprise has been hardened by hundreds of enterprises over the last decade.”
New features in Datastax Enterprise 6.8
- Kubernetes operator. DSE 6.8 enables data sharing between containers for data managed with DSE. Enterprises can now benefit from a robust integration of a Management API and Kubernetes tooling that experienced operators rely on.
- Faster scale-out. With Datastax Enterprise 6.8, there’s a new optimization feature aimed at significantly reducing the amount of time it takes Cassandra to scale-out during peak periods of demand or perform business continuity tasks.
- Graph engine. With DSE 6.8, graph data models are now implemented as native Cassandra data models, with up to a 10x performance improvement. Users can now write to Cassandra and query it in real-time using the Gremlin traversal language.
In addition to these features, DSE 6.8 also includes improvements to NodeSync, which accelerates validation of new data; Guardrails, which enables automated protection of clusters through enforcement of best practices; and Datastax Desktop, a cross-platform container-based tool that allows quick exploration of DSE 6.8 in a development environment and provisioning of the DSE 6.8 stack in minutes.