Cassandra vs. MongoDB Comparison

No. MongoDB is a general-purpose, NoSQL document database while Cassandra is a wide-column NoSQL store. Many use cases can be covered by each database, but their differing architectures will drastically impact application design, efficiency, and cost to maintain.

MongoDB offers a larger superset of features and abilities than Cassandra. With the correct schema and design pattern, MongoDB can cover the vast majority of use cases covered by Cassandra. Additionally, the MongoDB Atlas platform is a unique, world-class data platform offered by no other company or technology.

It depends on the use case. However, there are more use cases where MongoDB will help you improve developer productivity as well as go-to-market times over developing with Cassandra.

Cassandra uses a cluster of nodes hosting wide-column tables queried by the CQL language. MongoDB stores its data in JSON documents, stored server-side in a binary JSON format called BSON. It uses a single query API called MQL to interact with the data within its databases and collections. Both MongoDB and Cassandra have built-in scalability features and high availability guarantees. However, the semantics and consistency guarantees are different.

Both. MongoDB is optimized for read and write workloads, with the ability to tune your consistency and read preference. It uses secondary indexes on any field to fit your query patterns and offer differentiating features for workload isolations and data governance to fit your needs.