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PostgreSQL

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4.4 out of 5 stars
670 reviews
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PostgreSQL

670 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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Verified User in Information Technology and Services
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Verified User in Information Technology and Services
03/14/2026
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Powerful, Extensible Postgres with ACID Guarantees and a Huge Ecosystem

|PostgreSQL
It is easy to extent with something like TimescaleDB you can turn Postgres into a hybrid row + columnar database without changing much in your application, which is pretty powerful. it is feature rich with true ACID guarantees, and a huge ecosystem (PostGIS, JSONB, extensions) that make it both reliable and flexible. Easy to Setup. Our goto database for most production workloads
Axel U.
AU
Axel U.
02/17/2026
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Review source: G2 invite
Incentivized Review
Translated Using AI

PostgreSQL: robust, flexible, and scalable, with ACID, JSONB, and powerful extensions

|PostgreSQL
What I like most about PostgreSQL is the balance it achieves between robustness and flexibility. It offers reliable ACID transactions, strong referential integrity, and a powerful query optimizer. Additionally, it supports JSONB, advanced indexes, and extensions, allowing the combination of the relational model with semi-structured cases without the need to change engines. Overall, I find it a stable, scalable, and suitable option for both small projects and critical systems.
sai kiran narayana .
S
sai kiran narayana .
01/21/2026
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Incentivized Review

Robust, Feature-Rich, and Secure Database Solution

|PostgreSQL
I like using PostgreSQL for maintaining data integrity across all our customers. I also appreciate staying up to date with the PostgreSQL version through AWS. The ability to maintain relational integrity between tables and connect to the database via Spring Boot applications is very helpful. PG Admin is useful for connecting and has an interface that's different from MySQL Workbench. I can run multiple queries in a single tab, use filters, and connect to various databases easily. The query results are quick, and the updates provided by the PostgreSQL team are fast, which motivates us. I feel confident that my data is safe with PostgreSQL's fail-safe features. Additionally, the interface is easy to navigate, especially with the help of client ID and client secret in the UI. It's also easy to update without needing to rewrite queries. The ease of setup and documentation make it quick to get started, and it's easier to connect to open source details.

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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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