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Review

PostgreSQL Review 2026

In-depth PostgreSQL review for 2026. JSONB, extensions, performance tuning, and ecosystem — why PostgreSQL is the default database for serious applications.

5/5

★★★★★

ORN Rating

Outstanding — highly recommended without reservation.

Pros

  • Most advanced open source relational database available
  • JSONB support bridges relational and document models
  • Extensive extension ecosystem including PostGIS and pgvector
  • Rock-solid ACID compliance and data integrity
  • Massive community with decades of production hardening

Cons

  • Configuration tuning requires expertise for optimal performance
  • Replication setup is more complex than MySQL
  • Lack of built-in connection pooling requires external tools
  • Upgrade process between major versions needs careful planning

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Our Verdict

PostgreSQL stands as the most capable open source database engine available, offering a combination of reliability, standards compliance, and extensibility that no competitor matches. The relational model is implemented with strict ACID compliance, ensuring data integrity that financial, healthcare, and government applications demand. But PostgreSQL transcends the traditional relational model with JSONB support that lets you store and query semi-structured data with the performance and indexing capabilities you would expect from a dedicated document database. The extension ecosystem is extraordinary: PostGIS transforms PostgreSQL into a full-featured geographic information system, pgvector enables vector similarity search for AI and machine learning applications, and TimescaleDB adds time-series capabilities without changing databases. Full-text search is built in and surprisingly capable for applications that do not need a dedicated search engine. The query planner is sophisticated, with support for parallel query execution, table partitioning, and materialized views that handle analytical workloads alongside transactional operations. Window functions, CTEs, lateral joins, and recursive queries provide expressive power that simplifies complex data retrieval. Where PostgreSQL demands investment is in operational expertise. Default configurations are conservative and require tuning for shared_buffers, work_mem, effective_cache_size, and numerous other parameters to achieve optimal performance on your specific hardware. Replication, while functional with streaming replication and logical replication, requires more manual configuration than MySQL's group replication. The absence of built-in connection pooling means production deployments almost always need PgBouncer or a similar external tool. Major version upgrades require either pg_upgrade or a dump-and-restore process that demands careful planning and testing. Despite these operational considerations, PostgreSQL is the database that serious applications should default to. Its combination of correctness, extensibility, and community support makes it the foundation of modern data infrastructure.

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