DSE Analytics

Use DSE Analytics to analyze huge databases. DSE Analytics includes built-in integration with Apache Spark and the DSEFS distributed file system for storing large amounts of data for analytic processing.

Use DSE Analytics to analyze extremely large data sets. DSE Analytics provides distributed storage, real-time, streaming, and batch analytics with built-in integration with Apache Spark™, a distributed, parallel data processing engine.

DSE Analytics features

  • No single point of failure

    DSE Analytics supports a peer-to-peer, distributed cluster for running Spark jobs. Being peers, any node in the cluster can load data files, and any analytics node can assume the responsibilities of Spark Master.

  • Spark Master management

    DSE Analytics provides automatic Spark Master management.

  • Analytics without ETL

    Using DSE Analytics, you run Spark jobs directly against data in the database. You can perform real-time and analytics workloads at the same time without one workload affecting the performance of the other. Starting some cluster nodes as Analytics nodes and others as pure transactional real-time nodes automatically replicates data between nodes.

  • DataStax Enterprise file system (DSEFS)

    DSEFS (DataStax Enterprise file system) is a fault-tolerant, general-purpose, distributed file system within DataStax Enterprise. It is designed for use cases that need to leverage a distributed file system for data ingestion, data staging, and state management for Spark Streaming applications (such as checkpointing or write-ahead logging). DSEFS is similar to HDFS, but avoids the deployment complexity and single point of failure typical of HDFS. DSEFS is HDFS-compatible and is designed to work in place of HDFS in Spark and other systems.

  • DSE Analytics Solo

    DSE Analytics Solo datacenters are devoted entirely to DSE Analytics processing, for deployments that require separation of analytics jobs from transactional data.

  • Integrated security

    DSE Analytics uses the advanced security features of DSE, simplifying configuration and deployment.

  • AlwaysOn SQL

    AlwaysOn SQL is a highly-available service that provides JDBC and ODBC interfaces to applications accessing DSE Analytics data.

Was this helpful?

Give Feedback

How can we improve the documentation?

© 2024 DataStax | Privacy policy | Terms of use

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: +1 (650) 389-6000, info@datastax.com