Streaming and Real-Time Analytics
Get the fastest possible insights with support for streaming data and real-time analytics on Cassandra data via Apache Spark integration.
For long running analysis tasks, built-in batch analytic support is provided on Cassandra data via MapReduce, Hive, Pig, and Mahout functionality.
DSE Analytics are built on Cassandra’s architecture, which ensures constant uptime and availability for analytics operations.
Easy Set Up and Scale Out
Configuring a DSE cluster for analytics support is push button simple using DataStax OpsCenter
. Additional analytic capacity can easily be added online to scale to whatever data or user demands an application has
Integration with Search
Search/Solr syntax is integrated with SparkSQL, which enhances Spark in a way that allows it to operate as a powerful search language and enables "SearchLytics". Solr syntax may be passed directly through a SparkSQL WHERE clause so that data can be searched for via SparkSQL in addition to the native Solr API’s.
Multi-Data Center and Cloud Analytics
Analytics operations can be configured to easily run across multiple data centers and cloud availability zones.
DSE provides workload management out of the box so analytics tasks do not compete with transactional or search workloads for either data or compute resources.
DSE integrates with popular Hadoop installations from Cloudera and Hortonworks, allowing easy integration of hot transactional data and colder data housed in Hadoop data warehouses/lakes.
Analytics functionality and performance can easily be visually managed and monitored with DataStax OpsCenter
ODBC and JDBC Support
All popular BI tools can easily integrate with DSE Analytics via ODBC and JDBC drivers.