The powerful, standards-compliant open-source relational database — the safe default for structured data.
Official sitePostgreSQL ("Postgres") is a mature, open-source relational database with a reputation for correctness, standards compliance and depth of features. It offers full ACID transactions, strong SQL support, and extensions that stretch it well beyond classic relational work — JSONB documents, full-text search, geospatial data (PostGIS), and vector search for AI.
For most applications with structured, related data and a need for transactional integrity, Postgres is the sensible default. It scales impressively on a single node and has a huge, stable ecosystem.
Postgres is a relational database that stores data in typed tables with enforced constraints and relationships, queried with SQL. Its extension system means it can also do document storage (JSONB), full-text search and vector similarity without bolting on another system.
When data is relational and integrity matters — orders, accounts, billing, anything where a half-written transaction is unacceptable — Postgres is our default. Its JSONB support also lets it flex when part of the model is genuinely schemaless.
Relational schemas require upfront design and disciplined migrations; changing them later takes care. Horizontal scaling across many machines is more involved than with some NoSQL stores. For fast-changing, deeply nested, document-shaped data, MongoDB can be the better fit.
A document database that stores flexible, JSON-like records — great when your data is nested and evolving.
A blazing-fast in-memory store used for caching, queues, rate limiting and real-time streams.
A query language for APIs that lets clients ask for exactly the data they need — no more, no less.
Common questions
Straight answers on how this fits your marketing and build.
Use Postgres when data is relational and transactional integrity matters; use MongoDB when the model is document-shaped, deeply nested or fast-changing. Postgres also does JSONB, so the line is blurrier than it used to be — we choose per workload.
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