{"id":19288,"date":"2020-06-19T06:50:45","date_gmt":"2020-06-19T06:50:45","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/datastax-vector-making-cassandra-nosql-dbms-clusters-more-manageable.html"},"modified":"2020-06-19T06:50:45","modified_gmt":"2020-06-19T06:50:45","slug":"datastax-vector-making-cassandra-nosql-dbms-clusters-more-manageable","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/datastax-vector-making-cassandra-nosql-dbms-clusters-more-manageable.html","title":{"rendered":"DataStax Vector: Making Cassandra NoSQL DBMS clusters more manageable"},"content":{"rendered":"

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\n SQL and NoSQL? Fine, but how does the hybrid database fit in?
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The idea of running transactions and analytics on the same database is not new but it’s been held back by technology. But things in the hybrid world have been changing.<\/p>\n

\n Read More<\/a>\n <\/p>\n

Apache Cassandra<\/a> is a great NoSQL database, but no one’s ever said it was easy to monitor or manage. Now, DataStax<\/a> is bringing out a private beta of Vector<\/a>, an AIOps service for Cassandra. Vector will continually assess the behavior of a Cassandra cluster to provide developers and operators with automated diagnostics and advice. This will help them deal successfully with Cassandra and DataStax Enterprise (DSE) <\/a>clusters.<\/p>\n

DataStax and Apache Cassandra have had a frenemy relationship for some time. But ever since former Google exec and ex-Apigee CEO Chet Kapoor took DataStax’s wheel, DataStax and Cassandra are working closer again. As DataStax’ VP of developer relations, Patrick McFadin, said in a DevClass<\/a> story, “We’ve gotten into this mode where we’re reaffirming our mission to make Apache Cassandra the default database<\/a> for people building applications.”<\/p>\n

Vector will provide database administrators with management recommendations, These will come with detailed background knowledge and multiple ways to fix a given problem. The idea is, with Vector, developers and operators can resolve issues quickly while at the same time learning more about the cluster’s overall performance.\u00a0<\/p>\n

It does this using AI and an embedded knowledge base based on a decade of expert guidance and learnings. The beta release uses reactive learning, a form of machine learning (ML)<\/a> to produce its advice. Using this, Vector can analyze individual nodes, compare behavior to other cluster nodes, and serve up recommendations. For example, it can suggest optimal Cassandra and operating system configuration, schema design, and Cassandra performance and query techniques.<\/p>\n

Vector features include:\u00a0<\/p>\n