What do you need to know about Cassandra data model?

What do you need to know about Cassandra data model?

As Cassandra is a distributed database, so data duplication provides instant data availability and no single point of failure. You should have following goals while modelling data in Cassandra. You want an equal amount of data on each node of Cassandra cluster.

How is Cassandra used in mission critical applications?

Cassandra is built to handle the failure of nodes in the cluster without affecting the performance in any way as it has no single node failure, an essential feature for mission-critical applications. Compare the two NoSQL tools Cassandra and MongoDB in this riveting blog post now!

What makes Cassandra stand out from the crowd?

The following are some of the obvious features of Cassandra that clearly make it stand out from the crowd: Cassandra lets you support data structures of all kinds such as structured, unstructured, and semi-structured data, and it also supports dynamic changes to the data structures to reflect the changing needs.

What kind of query language does Cassandra use?

Cassandra query language (CQL) lets you access the Cassandra database through its node. This query language treats the database as a container of tables. This query language also provides a prompt Cassandra query language shell (cqlsh) that allows users to interact with Cassandra.

How does the primary key work in Cassandra?

The secret to Cassandra’s fast data access is an optimized storage mechanism, which you control with the Primary Key. The primary key, and its components, tells Cassandra how to find your data quickly. A Cassandra primary key uniquely identifies a row within a Cassandra table.

Why is Cassandra optimized for high write performance?

In Cassandra, writes are very cheap. Cassandra is optimized for high write performance. So try to maximize your writes for better read performance and data availability. There is a tradeoff between data write and data read. So, optimize you data read performance by maximizing the number of data writes.

Do you need to write writes in Cassandra?

In Cassandra, writes are not expensive. Cassandra does not support joins, group by, OR clause, aggregations, etc. So you have to store your data in such a way that it should be completely retrievable.