Apache Cassandra vs RethinkDB Comparison

Compare features to find which solution is best for your needs.

Apache Cassandra icon

Apache Cassandra

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

Open Source
Categories:
Available for:
Mac OS X Windows Linux BSD
VS
RethinkDB icon

RethinkDB

RethinkDB is a free and open-source, distributed document database designed for building real-time web applications.

Open Source
Categories:
Available for:
Mac OS X Windows Linux BSD Discontinued

Summary

Apache Cassandra and RethinkDB are both powerful solutions in their space. Apache Cassandra offers apache cassandra is a highly scalable, distributed nosql database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure., while RethinkDB provides rethinkdb is a free and open-source, distributed document database designed for building real-time web applications.. Compare their features and pricing to find the best match for your needs.

Pros & Cons Comparison

Apache Cassandra

Apache Cassandra

Pros

  • High availability with no single point of failure.
  • Excellent linear scalability to handle increasing data volumes.
  • Fault-tolerant and resilient to node failures.
  • Designed for high write throughput and low-latency reads.
  • Tunable consistency allows balancing performance and consistency.

Cons

  • Data modeling requires a different approach compared to RDBMS.
  • Complex transactions like multi-keyspace ACID are not supported.
  • Operational overhead can be high for large clusters.
  • CQL is not a full SQL implementation; complex queries may be challenging.
RethinkDB

RethinkDB

Pros

  • Excellent real-time data pushing capabilities (changefeeds).
  • Elegant and programmatic query language (ReQL).
  • Flexible JSON document model.
  • Designed for distributed deployments and scalability.
  • Active open-source community maintaining the project.

Cons

  • Original commercial company is no longer operational.
  • Reliance on community for support and future development.
  • Smaller ecosystem compared to larger databases like MongoDB or PostgreSQL.
  • Steeper learning curve for ReQL compared to SQL for some developers.

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