CQL is a query language similar to SQL, that is used to interact with Cassandra databases. It is a high-level language that abstracts away some of the low-level details of the Apache Cassandra® database. CQL syntax is similar to SQL, with differences that allow users to store and retrieve data from a non-relational database.

Be sure you understand the structure that Cassandra uses to store the data before exploring how to manipulate data with CQL.

To gain a deep appreciation of the differences, be sure to read about data modeling.

CQL is used for all the standard database CRUD operations, like creating, reading, updating, and deleting various database objects. It is a method of defining and manipulating keyspaces, tables, columns, user-defined types (UDTs) ,user-defined functions (UDFs), user-defined aggregates (UDAs), and indexes. In addition, roles and access permissions can be managed with CQL.

Some database objects have schema that is keybase-wide, while other schema is table-based.

CQL can be used with DataStax Astra DB, Hyper-Converged Database, DataStax Enterprise, and Cassandra. Each database has a different set of CQL commands that are supported.

DataStax Astra DB, Hyper-Converged Database, DataStax Enterprise, and Cassandra can interact with CQL in the following ways:

All of the various database products can also use the Stargate APIs or language drivers to interact with the database, passing CQL commands to the Cassandra cluster.

For production, DataStax supplies a number of drivers so that CQL statements and search commands can be passed from client to cluster and back.

An additional tool, https://docs.datastax.com/en/studio/6.8/studio/aboutStudio.html[DataStax Studio, an interactive notebook tool, can be used to run CQL commands.

Administrative tasks can be accomplished using DSE OpsCenter.