Data Sheet: DataStax Enterprise

DataStax Enterprise—Powered by Apache Cassandra™

The Big Data Platform That Powers the Apps That Transform Business

DataStax Enterprise is a complete big data platform, built on Apache Cassandra™, architected to manage real-time, analytic,and enterprise search data in the same database cluster. DataStax Enterprise consists of three components:

  1. DataStax Enterprise Server
  2. OpsCenter Enterprise Management Solution
  3. Expert Production Support and Services

DSE Marketecture

DataStax Enterprise Server—The Platform for Big Data Management

Certified, production-ready Cassandra – Verified by the experts at DataStax for real-time production applications.

Continuously available Hadoop – Integrated Hadoop stack includes MapReduce, Hive, Pig, Mahout, Sqoop and job/task tracking capabilities that are 100% Hadoop, but built on top of Cassandra vs. HDFS for fault tolerance and easy multi-data center operations.

Scalable enterprise search with Solr – Integrated enterprise search support via Lucene and Apache Solr supplies all the benefits of Solr but includes better scalability and multi-data center capabilities.

Enterprise security for big data – Includes the most comprehensive security feature set of any NoSQL solution on the market.

Transparent workload management and no ETL – Real-time analytic and search workloads do not compete with each other for compute or data resources. Further, DataStax Enterprise puts an end to complex and time-consuming ETL operations, as data is transparently replicated between all Cassandra, Hadoop, and Solr nodes in a DataStax Enterprise cluster.

And more – Also includes multi-data center and cloud support, easy migration of RDBMS and log data, plus more.

AT-A-GLANCE

A fully integrated, secure big data platform for managing real-time, analytic, and enterprise search data all in the same database cluster.

Real-Time Data with Cassandra

  • Certified Cassandra version for production environments
  • Fast read/write performance across all real-time nodes in a cluster
  • Dynamic schema for managing all types of data
  • Easy scale out on-premise, in the cloud, across multiple data centers with no single point of failure

Analytics with Hadoop

  • 100% Hadoop distribution with
  • MapReduce, Hive, Pig, and more
  • Enhanced to include no single point of failure and easier deployment than community Hadoop
  • Easy to manage and scale via adding new nodes online

Enterprise Search with Solr

  • Powerful search support with hit highlighting, faceted search, rich document handling, and geospatial support
  • Provides full data durability with no potential for data loss
  • Delivers scalable write support, automatic sharding, and continuous availability

One Integrated Database

  • Support delivered by the big data experts
  • Support service level agreements that range from business hours to
  • 24x7x365 for applications that need around-the-clock coverage
  • Certified service packs keep your software up to date
  • Hot fix builds for emergency situations