Why use MongoDB over Cassandra?

Question

MongoDB is a general-purpose database that can support multiple use cases with its flexible document model, rich aggregation language, and robust features such as sharding and ACID compliant transactions. Therefore, it can cover the vast majority of Cassandra's most popular use cases, and much more.

Why is MongoDB better than Cassandra?

Due to its flexible Data Model along with its high-quality secondary indexes, MongoDB can fetch any value from the stored object even if it is nested. Apache Cassandra only offers cursor support for secondary indexes which are limited to single columns and equality operations.

Which one is better MongoDB or Cassandra?

Conclusion: The decision between the two depends on how you will query. If it is mostly by the primary index, Cassandra will do the job. If you need a flexible model with efficient secondary indexes, MongoDB would be a better solution.

Why is MongoDB relevant Cassandra?

In sum, Cassandra is the modern version of the relational database, albeit where data is grouped by column instead of row, for fast retrieval. MongoDB stores records as documents in JSON format. It has a JavaScript shell and a rich set of functions which makes it easy to work with.

Why is MongoDB better than other NoSQL?

MongoDB has the rows called documents that don't require a schema to be defined because the fields are created on the fly. The data model available within MongoDB allows hierarchical relationships representation, to store arrays, and other more complex structures more efficiently.

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