When to use Cassandra for reporting?

Is Cassandra good for reporting?

Cassandra is great for storing and querying large amounts of high-performance data which is why it's often used in IoT analytics and real-time data analytics use cases. You want your analytics platform to leverage and build on the strength of your Cassandra implementation.

When should Cassandra be used?

One open source application, Apache Cassandra, enables organisations to process large volumes of fast moving data in a reliable and scalable way. That's why companies like Facebook, Instagram and Netflix use Apache Cassandra for mission-critical features.

Why would you use Cassandra?

Instead of scaling vertically with expensive hardware, Cassandra enables companies to expand to any size simply by adding low-cost commodity servers or virtual machines—no shutdowns required. And its linear scalability ensures high performance is maintained across all nodes.

When should I use MongoDB or Cassandra?

MongoDB does have an advantage if your data model includes nested objects which require indexes as it has better support for secondary indexes. Cassandra however only has cursory support for secondary indexes. Secondary indexes are also limited to single columns and what are called equality comparisons.