Cassandra vs Datastax Enterprise: What are the differences?
Cassandra: A partitioned row store. Rows are organized into tables with a required primary key. Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL; Datastax Enterprise: A Cloud Database Built on Apache Cassandra™. It delivers a wide range of cloud data management, deployment and development capabilities. For mixed models and complex workloads you can choose the Advanced Workloads option with it to utilize DSE Graph, DSE Search, DSE Analytics, and more.
Cassandra and Datastax Enterprise can be categorized as "Databases" tools.
Cassandra is an open source tool with 5.34K GitHub stars and 2.36K GitHub forks. Here's a link to Cassandra's open source repository on GitHub.
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