MongoDB vs RethinkDB Comparison

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

MongoDB icon

MongoDB

MongoDB is a leading free and open-source NoSQL database, designed for modern applications. It offers a flexible document data model, high performance, and seamless scalability, making it ideal for various use cases from mobile to enterprise applications. by MongoDB, Inc.

Open Source
Categories:
Available for:
Mac OS X Windows Linux Online 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

MongoDB and RethinkDB are both powerful solutions in their space. MongoDB offers mongodb is a leading free and open-source nosql database, designed for modern applications. it offers a flexible document data model, high performance, and seamless scalability, making it ideal for various use cases from mobile to enterprise applications., 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

MongoDB

MongoDB

Pros

  • Flexible document data model allowing for easy schema changes.
  • Excellent horizontal scalability through sharding.
  • High availability and automatic failover with replica sets.
  • Strong performance with proper indexing and storage engine choice.
  • Large and active community with extensive documentation and support.

Cons

  • Schema design requires careful consideration to avoid potential issues.
  • Learning curve for developers migrating from relational databases.
  • Multi-document transaction support, though improved, requires understanding specific implementation details.
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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