Additional Information
A powerful, open source relational database system
| Latest Version | PostgreSQL 17.2 |
| Requirements |
Windows 7 64/Windows 8 64/Windows 10 64/Windows 11 |
| Updated | November 24, 2024 |
| Author | PostgreSQL Global Development Group |
| Category | Developer Tools |
| License | Open Source |
| Language | English |
| Download | 442 |
Overview
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, macOS, Solaris, Tru64), and Windows. PostgreSQL is a powerful object-relational database management system! Download PostgreSQL Offline Installer Setup 64bit for PC!
It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 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 (table sizes can go up to 32 TB).
PostgreSQL 2023 comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open-source, the tool is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database!
The app tries to conform with the SQL standard where such conformance does not contradict traditional features or could lead to poor architectural decisions. Many of the features required by the SQL standard are supported, though sometimes with slightly differing syntax or function. Further moves towards conformance can be expected over time. As of the version 11 release in October 2018, Postgre SQL 64bit version conforms to at least 160 of the 179 mandatory features for SQL:2011 Core conformance, whereas of this writing, no relational database meets full conformance with this standard.
Features and Highlights
Data Types
It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 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 (table sizes can go up to 32 TB).
PostgreSQL 2023 comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open-source, the tool is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database!
The app tries to conform with the SQL standard where such conformance does not contradict traditional features or could lead to poor architectural decisions. Many of the features required by the SQL standard are supported, though sometimes with slightly differing syntax or function. Further moves towards conformance can be expected over time. As of the version 11 release in October 2018, Postgre SQL 64bit version conforms to at least 160 of the 179 mandatory features for SQL:2011 Core conformance, whereas of this writing, no relational database meets full conformance with this standard.
Features and Highlights
Data Types
- Primitives: Integer, Numeric, String, Boolean
- Structured: Date/Time, Array, Range, UUID
- Document: JSON/JSONB, XML, Key-value (Hstore)
- Geometry: Point, Line, Circle, Polygon
- Customizations: Composite, Custom Types
Data Integrity
- UNIQUE, NOT NULL
- Primary Keys
- Foreign Keys
- Exclusion Constraints
- Explicit Locks, Advisory Locks
Concurrency, Performance
- Indexing: B-tree, Multicolumn, Expressions, Partial
- Advanced Indexing: GiST, SP-Gist, KNN Gist, GIN, BRIN, Covering indexes, Bloom filters
- Sophisticated query planner/optimizer, index-only scans, multicolumn statistics
- Transactions, Nested Transactions (via savepoints)
- Multi-Version Concurrency Control (MVCC)
- Parallelization of reading queries and building B-tree indexes
- Table partitioning
- All transaction isolation levels defined in the SQL standard, including Serializable
- Just-in-time (JIT) compilation of expressions
Reliability, Disaster Recovery
- Write-ahead Logging (WAL)
- Replication: Asynchronous, Synchronous, Logical
- Point-in-time-recovery (PITR), active standbys
- Tablespaces
Security
- Authentication: GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, and more
- Robust access-control system
- Column and row-level security
Extensibility
- Stored functions and procedures
- Procedural Languages: PL/PGSQL, Perl, Python (and many more)
- Foreign data wrappers: connect to other databases or streams with a standard SQL interface
- Many extensions that provide additional functionality, including PostGIS
Internationalization, Text Search
- Support for international character sets, e.g. through ICU collations
- Full-text search
