๐๏ธCassandra vs MongoDB๐
Cassandra is a wide-column store built for write-heavy distributed scale, while MongoDB is a flexible document database. Massive writes versus flexible documents.
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๐๏ธCassandra
- โExceptional write throughput at huge scale
- โMasterless design with no single point of failure
- โLinear horizontal scaling across data centers
- โTunable consistency for distributed needs
๐MongoDB
- โFlexible documents map to application objects
- โRich query language and secondary indexes
- โEasier to start and develop with
- โGreat for evolving, varied data shapes
Verdict
Pick Cassandra for write-heavy, always-on workloads across data centers. Pick MongoDB for flexible documents, rich queries and a faster development experience.
Frequently asked
Which handles writes better?+
Cassandra is built for very high write throughput and distributed scale.
Which is easier to develop with?+
MongoDB's flexible documents and query language are generally easier to start with.
Which scales without downtime?+
Cassandra's masterless design adds nodes with no single point of failure.
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