A powerful, open source relational database system

PostgreSQL
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PostgreSQL

  -  348 MB  -  Open Source
Free Download

Security Status

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 2025 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.

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
How to Use
  • Download and install this program from the official site or FileHorse.com
  • Open pgAdmin or use the command line for database management
  • Create a new database using the pgAdmin interface
  • Use SQL queries to create, read, update, and delete data
  • Configure user roles and permissions for security
  • Backup and restore databases with pgAdmin or command line
  • Optimize performance using indexing and query tuning
  • Connect applications using PostgreSQL-compatible drivers
  • Monitor database activity with built-in logging tools
  • Keep PostgreSQL updated for security and performance
System Requirements

OS: Windows 11 or Windows 10 (64-bit)

Processor: Intel or AMD 64-bit processor

RAM: Minimum 2GB, recommended 4GB or more

Storage: At least 100MB for installation, more for data

Additional: Microsoft Visual C++ Redistributable required

PROS
  • Open-source and free to use
  • Advanced security features
  • High scalability and performance
  • Supports complex queries and indexing
  • Strong community and documentation
CONS
  • Requires manual performance tuning
  • Higher memory usage in some cases
  • Limited built-in GUI management tools
  • Upgrades may require manual adjustments
Also Available: Download PostgreSQL for Mac

Download PostgreSQL Latest Version
Why is this app published on FileHorse? (More info)

  • PostgreSQL 17.6 Screenshots

    The images below have been resized. Click on them to view the screenshots in full size.

    PostgreSQL 17.6 Screenshot 1
  • PostgreSQL 17.6 Screenshot 2
  • PostgreSQL 17.6 Screenshot 3
  • PostgreSQL 17.6 Screenshot 4
  • PostgreSQL 17.6 Screenshot 5

What's new in this version:

Security Issues:
CVE-2025-8713: PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table:
- Supported, Vulnerable Versions: 13 - 17
- PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this data is consulted during the query planning process. Prior to this release, a user could craft a leaky operator that bypassed view access control lists (ACLs) and bypassed row security policies in partitioning or table inheritance hierarchies. Reachable statistics data notably included histograms and most- common-values lists. CVE-2017-7484 and CVE-2019-10130 intended to close this class of vulnerability, but this gap remained. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected.

CVE-2025-8714: PostgreSQL pg_dump lets superuser of origin server execute arbitrary code in psql client:
- Supported, Vulnerable Versions: 13 - 17
- Untrusted data inclusion in pg_dump in PostgreSQL allows a malicious superuser of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands. pg_dumpall is also affected. pg_restore is affected when used to generate a plain-format dump. This is similar to MySQL CVE-2024-21096. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected.

CVE-2025-8715: PostgreSQL pg_dump newline in object name executes arbitrary code in psql client and in restore target server:
- Supported, Vulnerable Versions: 13 - 17
- Improper neutralization of newlines in pg_dump in PostgreSQL allows a user of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands inside a purpose-crafted object name. The same attacks can achieve SQL injection as a superuser of the restore target server. pg_dumpall, pg_restore, and pg_upgrade are also affected. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected. Versions before 11.20 are unaffected. CVE-2012-0868 had fixed this class of problem, but version 11.20 reintroduced it.

Bug Fixes and Improvements:
- This update fixes over 55 bugs that were reported in the last several months. The issues listed below affect PostgreSQL 17. Some of these issues may also affect other supported versions of PostgreSQL.
- Fix for BRIN indexes using the numeric_minmax_multi_ops operator class that could cause them to become bloated and inefficient. Please see the "Updating" section for instructions on how to fix these indexes.
- Several fixes for logical replication, including fixes for memory allocation failure, duplicate transaction replay, infinite wait, unexpected shutdown, and a standby unable to shutdown.
- Fix premature removal of old WAL during a checkpoint, which could impact recovery when using replication slots.
- Revert a change that could reject XML documents over 10MB in size.
- Fix how nested character classes (e.g. [[:alpha:]%_]) are handled in SIMILAR TO expressions
- Restore the ability for PL/pgSQL expressions to use parallel execution
- Avoid a rare scenario where a B-tree index could modify the wrong entry
- Several fixes for MERGE, including incorrect query results with concurrency and when targeting a table that is a parent in an inheritance hierarchy
- Fix LZ4 decompression failure that could occur on data that is not very compressible
- Prevent an infinite loop in checkpoints on systems with very large shared_buffers settings
- Fix issues with GSSAPI authentication when using Active Directory accounts with many group memberships. This release also fixes timing-dependent connection failures when using SSL or GSSAPI encryption in non-blocking mode.
- Fix a crash in libpq function PQcancelCreate()
- Fix several resource leaks

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