PostgreSQL

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4.4
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PostgreSQL

683 reviews

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

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PostgreSQL Reviews

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Yogesh S.
YS
Yogesh S.
Software EngineerMid-Market (51-1000 emp.)
05/22/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

The ultimate open-source workhorse for our relational data needs

We use PostgreSQL as the sole choice for practically every new service that we launch, and as a software engineer in a medium sized company, we'd love to do more but cannot do it. I'm most impressed by how reliable it is, and how much more it has to offer than standard SQL. The JSONB support is a godsend to us, because it allows us to have the flexibility of a NoSQL data model to our semi-structured data, without losing our strict ACID requirements of our transactional data. The extension ecosystem is also phenomenal. We can typically select an extension to easily incorporate geospatial functionality into PostGIS or time-series data into its time-series management utility, without having to try out a whole new database technology. It can easily process complex queries and concurrency heavy read and write without breaking a sweat and is open-source, so we are not faced with the licensing problems found with enterprise alternatives to it.
Gunther C.
GC
Gunther C.
Software EngineerMid-Market (51-1000 emp.)
05/13/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Versatile, High-Performance PostgreSQL for Local and Cloud Development

PostgreSQL offers robust database functionality that covers a wide variety of use cases. The ability to run this database locally for testing and development as well as in the cloud is imperative for ensuring that software runs as expected when it goes into production. The adoption of PostgreSQL by a wide variety of cloud providers has made this a great option for most software projects.
Deepak S.
DS
Deepak S.
Software DeveloperSmall-Business (50 or fewer emp.)
05/06/2026
Validated Reviewer
Review source: Organic

Reliable, Powerful, and Perfect for Complex Applications

I like that PostgreSQL is reliable, fast, and very stable. It handles complex data well and has strong features while still being open-source and easy to use. Features like advanced queries, strong data integrity, and good performance help me manage applications smoothly. It handles large data reliably, reduces errors, and works well even as projects grow.

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What is PostgreSQL?

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL: 008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation. An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance. It supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL systems in production environments that manage in excess of 4 terabytes of data.

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