A powerful, open source relational database system

PostgreSQL

PostgreSQL

  -  352 MB  -  Open Source
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

Why is this app published on FileHorse? (More info)
  • PostgreSQL 18.1 Screenshots

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    PostgreSQL 18.1 Screenshot 1
  • PostgreSQL 18.1 Screenshot 2
  • PostgreSQL 18.1 Screenshot 3
  • PostgreSQL 18.1 Screenshot 4
  • PostgreSQL 18.1 Screenshot 5

What's new in this version:

- Avoid returning duplicate rows from hash right semi-joins
- Avoid possible out-of-memory failures during parallel GIN index build
- Several fixes for BRIN indexes
- Avoid duplicating hash partition constraints during DETACH CONCURRENTLY, which previously caused issues during dump/restore or if a parent table is dropped after the DETACH
- Disallow generated columns in partition keys and in COPY ... FROM ... WHERE clauses
- Avoid failures when synchronized_standby_slots references nonexistent replication slots
- Avoid unwanted WAL receiver shutdown when switching from streaming to archive WAL source
- Avoid unnecessary invalidation of logical replication slots
- Correctly handle GROUP BY DISTINCT in PL/pgSQL assignment statements
- Avoid leaking memory when handling a SQL error within PL/Python
- Ensure consistent ordering of foreign key constraints in the output of pg_dump
- Several fixes for pgbench error handling and reporting
- Allow nonsuperusers with SELECT privileges on a table to use pg_prewarm to prewarm indexes on that table

Fixed:
- Fixes for crashes related to partitioned tables, including one occurring during a recheck
- Fix incorrect reporting of replication lag in pg_stat_replication view
- Fix how libpq handles socket-related errors on Windows within its GSSAPI logic
- Fix dumping of non-inherited NOT NULL constraints on inherited table columns
- Fix memory leak in pg_combinebackup