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PostgreSQL
★ FeaturedMost advanced open-source relational database — #1 in Stack Overflow 2024 survey (48.7%), built-in pgvector, JSONB, and full ACID compliance.
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About PostgreSQL
PostgreSQL is the world''s most advanced open-source relational database — and the most widely used database among professional developers for the 5th consecutive year.
**Stack Overflow Developer Survey 2024 — most-used databases:**
| Database | Usage % |
|---------|---------|
| PostgreSQL | 48.7% (#1) |
| MySQL | 40.3% (#2) |
| SQLite | 33.1% (#3) |
| MongoDB | 24.0% (#5) |
**pgvector — the AI extension:**
`CREATE EXTENSION vector;` enables storing and querying high-dimensional vectors alongside relational data. A 1.5M vector dataset (768 dimensions) queries at 298 QPS with pgvector on a standard VPS. For RAG applications with under 5 million vectors, pgvector eliminates the need for a separate vector database by storing embeddings in the same PostgreSQL instance as your application data.
**JSONB for document storage:**
JSONB columns store JSON as binary with full GIN indexing. Query JSON fields as efficiently as regular columns. This gives PostgreSQL the flexibility of MongoDB for document storage with the reliability of ACID transactions — without managing two databases.
**Why PostgreSQL beat MySQL:**
PostgreSQL''s MVCC (Multi-Version Concurrency Control) allows reads and writes simultaneously without blocking — critical for high-concurrency applications. PostgreSQL also has superior support for complex queries, window functions, CTEs, and custom extensions.
**Extensions ecosystem:**
PostGIS (geospatial), pg_trgm (fuzzy search), TimescaleDB (time-series), Citus (horizontal sharding), and 100+ more — all without switching databases.
Key Features
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pgvector: store 768-dim embeddings, query with cosine similarity, combine with SQL filters in one query
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JSONB: binary JSON storage with GIN indexing — query JSON fields at the same speed as regular columns
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Row-level security: define access policies at the database level enforced for every query regardless of application code
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Full-text search: built-in ts_vector and ts_query with ranking — no Elasticsearch required for basic search
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Extensions: PostGIS, TimescaleDB, pg_trgm, Citus, pgcrypto — expand capabilities without changing databases
Pros
- ✓#1 most-used database among professional developers for 5 consecutive years (Stack Overflow survey)
- ✓pgvector: store and query AI embeddings in the same database as your application — no separate vector DB
- ✓JSONB: document storage with full indexing, eliminating the need for a separate MongoDB instance
- ✓Full ACID compliance with MVCC — concurrent reads and writes without locking
- ✓Free forever under the PostgreSQL License — no commercial version, no paid features ever
Cons
- ✗Requires more configuration tuning than MySQL for extremely write-heavy workloads above 100K writes/second
- ✗Streaming replication setup requires PostgreSQL expertise beyond basic installation
- ✗No built-in horizontal write sharding — requires Citus extension or application-level sharding for very large scales
Who is using PostgreSQL?
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Every developer building a web application who needs a relational database
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AI teams who want to store embeddings alongside application data with pgvector
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Applications that started on MongoDB and now need ACID transactions for financial data
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SaaS companies who want PostGIS for geospatial queries without a separate spatial database
Use Cases
- →Storing both application data and AI embeddings in one database using pgvector
- →Using JSONB to store flexible user metadata without a schema migration for every new field
- →Running complex aggregations and analytics queries that MongoDB cannot express efficiently
- →Building a multi-tenant SaaS with row-level security policies enforced at the database level
Pricing
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Open Source : $0/forever — All features, PostgreSQL License, Community support, All extensions
Pricing details may not be up to date. For the most accurate and current pricing, refer to the official website.
What Makes PostgreSQL Unique?
The only relational database that is simultaneously the #1 most-used by developers, supports vector similarity search for AI (pgvector), stores JSON as efficiently as MongoDB (JSONB), and is free forever — with 35 years of reliability.
How We Rated It
Adoption data from Stack Overflow Developer Survey 2024 (90,000 respondents). pgvector performance from ann-benchmarks on Hetzner CCX13. JSONB vs MongoDB query latency from a 10M document benchmark on equivalent hardware.
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Accuracy and Reliability 4.9/5
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Ease of Use 4.6/5
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Functionality and Features 4.9/5
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Performance and Speed 4.9/5
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Customer Support 4.7/5
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Value for Money 5.0/5
AI summary
Most advanced open-source relational database — #1 in Stack Overflow 2024 survey (48.7%), built-in pgvector, JSONB, and full ACID compliance.