DataStax Enterprise
The distributed hybrid cloud database, always active everywhere, built in Apache Cassandra.
The distributed hybrid cloud database, always active everywhere, built in Apache Cassandra.
The distributed hybrid cloud database, always active everywhere, built in Apache Cassandra.
The only database capable of meeting today's demanding requirements.
Best Apache Cassandra Distribution
Cassandra of enterprise level and production certificate, with the support of industry experts. The highest responsiveness and throughput for usage spikes or workloads.
Designed for Hybrid Cloud
A platform - for all types of applications anywhere, any cloud, any model: key value, chart, tabular, JSON.
Advanced Workloads Ready for Deployment
Fully integrated and optimized database, graph, analytics, in-memory, search and Kafka - all with a unified security model.
Autonomous Operational Simplicity
Easily manage DataStax Enterprise as an experienced professional with features like NodeSync, Upgrade Service, and Traffic Control.
Simplified Development of Modern Applications
Simplified development and deployment for your cloud applications with Kafka and Docker integrations optimized for DataStax Enterprise.
Enterprise-ready features
DataStax Enterprise offers a wide variety of cloud data management, deployment, and development capabilities.
DSE Opscenter
Go back and place large-scale operations on autopilot. OpsCenter has built-in functionality for real-time monitoring, tuning, provisioning, backup, and security management.
Development Tools
Visual notebook-style development tools, connectors for all popular development languages, and apache kakfa connectivity, bulk loading utilities, container support with Docker certified images, training, documents, and community - all ready to use.
Advanced DSE Security
DataStax Enterprise expands cassandra's basic security capabilities by providing the tools you need to meet stringent HIPAA, PCI, and SOX compliance requirements. Compliance isn't that much fun - but now at least it's easy.
Advanced workload package
For mixed models and complex workloads, you can choose the Advanced Workloads option with DataStax Enterprise to maximize your potential and build modern applications without restrictions.
DSE Chart
Get the first graphics capabilities powerful enough for customer-facing applications that are able to scale to massive datasets in data centers and cloud regions.
DSE Analytics
Give your users intelligent, personalized behavior with powerful flow and batch analytics provided by Apache Spark.
Search DSE
Help your users find data with ease, with full support for complex queries using sub-string, fuzzy, full-text search, as well as fast, real-time aggregations, stoning, and filtering.
Deployment options
DataStax Enterprise, by design, can be deployed on any type of infrastructure: public or private cloud, on-premises cloud, multi- or hybrid.
Multi-Data Center
DataStax Enterprise is perfect for multi-datacenter deployments. Our simple replication and distribution make your distributed environments easier.
Any Hardware
DataStax Enterprise's masterless architecture means you can scale out, predictably, and economically, with compute-intensive or compute instances.
Advanced replication
Advanced Replication allows a single cluster to have a multi-ray primary hub. This enables configurable bidirectional replication of distributed data to and from the source and destination clusters.
Managed service
Let DataStax experts manage your deployment for you in your choice of Amazon Web Services or Microsoft Azure.
System requirements
DataStax recommends the following maximum index sizes:
Single index: 250 GB maximum
When a single index exceeds 250 GB or if performance decreases, consider adding nodes to further distribute the search index.
Multiple indexes: collective index size: 500 GB maximum
Support for more than one index depends on the hardware relative to the number of physical CPU cores available. DataStax recommends a minimum of two physical cores per search index, where the maximum number of search indexes is the number of physical cores divided by two.
For example, if a machine has 16 virtual CPUs in 8 physical cores, the maximum recommended number of search indexes is 4.
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