Amazon Aurora
MySQL- and PostgreSQL-compatible cloud relational database service offering high performance and high availability
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Robust, extensible relational database engine for modern applications
PostgreSQL is an advanced object‑relational DBMS supporting SQL standards, ACID transactions, extensibility via custom types, functions, and C language bindings, suitable for enterprise and cloud workloads.
PostgreSQL is an advanced object‑relational database management system that implements a broad subset of the SQL standard. It provides ACID‑compliant transactions, MVCC concurrency, foreign keys, triggers, and support for custom data types and functions. The source distribution includes C language bindings and a rich set of extensions that let developers tailor the engine to specific workloads.
Designed for developers, DBAs, and enterprises that require reliable data integrity, extensibility, and scalability, PostgreSQL runs on Linux, Windows, and macOS. It can be built from source using the detailed instructions in the official documentation, then deployed on‑premises, in containers, or via managed cloud services. Its replication and partitioning features support high‑availability and large‑scale analytical workloads.
When teams consider PostgreSQL, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Transactional e‑commerce platform
Ensures order consistency, supports complex queries, and scales with read replicas for high traffic.
Geospatial data analysis
Leverages PostGIS extension to store and query location data efficiently.
Multi‑tenant SaaS application
Uses row‑level security and schemas to isolate customer data while sharing a single database instance.
Data warehousing with parallel query
Employs partitioning and parallel execution to accelerate large‑scale reporting.
Native drivers exist for C, C++, Java, Python, Ruby, Go, .NET, and many others, plus a C language binding included in the source.
It implements ACID transactions, MVCC concurrency control, foreign keys, constraints, and triggers to maintain consistency.
Yes; built‑in streaming replication, logical replication, and failover tools enable robust HA configurations.
Absolutely; you can add extensions, user‑defined types, functions, and procedural languages such as PL/pgSQL, PL/Python, PL/Perl, etc.
Project at a glance
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