PostgreSQL vs RethinkDB Comparison

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

PostgreSQL icon

PostgreSQL

PostgreSQL is a robust, open-source object-relational database system renowned for its extensibility, standards compliance, and advanced features. It is highly regarded for its reliability, data integrity, and performance, making it a popular choice for critical enterprise applications and data warehousing.

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

PostgreSQL and RethinkDB are both powerful solutions in their space. PostgreSQL offers postgresql is a robust, open-source object-relational database system renowned for its extensibility, standards compliance, and advanced features. it is highly regarded for its reliability, data integrity, and performance, making it a popular choice for critical enterprise applications and data warehousing., 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

PostgreSQL

PostgreSQL

Pros

  • Robust and feature-rich, often comparable to commercial databases.
  • Strong adherence to SQL standards.
  • Excellent data integrity and reliability with ACID compliance.
  • Highly extensible through custom types, functions, and extensions.
  • Active and supportive open-source community.
  • Suitable for a wide range of application sizes and complexities.

Cons

  • Can have a steeper learning curve for beginners.
  • Performance tuning requires understanding of indexing and query optimization.
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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