Pivotal Postgres

The world's most versatile open-source database—supported by Pivotal

Pivotal Postgres is open-source PostgreSQL binaries, packaged and commercially supported by Pivotal.

100% open source

Pivotal Postgres is completely open source and now includes PostgreSQL 10, 11, and 12. It’s based on the source tree published at postgresql.org.

24x7 Pivotal Support

Pivotal has deep expertise supporting operational databases. Leave the support to us!

Enterprise ready

We extend the functionality of PostgreSQL to include components necessary for high availability, backups, and analytics.

Why Pivotal Postgres

Proven at scale for mission-critical apps

The world’s largest organizations trust their most important database apps to PostgreSQL. Why? Because the system delivers time and time again.

Constant updates keep pace with the community

We enhance Pivotal Postgres with add-on capabilities from the community when they’re ready for production scale.

Alternative to proprietary database engines

Pivotal Postgres is a leading alternative for organizations that want to get away from the cost and complexity often associated with third-party databases.

Uniquely flexible

Pivotal Postgres is a remarkable database. It can handle many data models, including relational, object-relational, and graph.

Handles multiple data types and structures

Pivotal Postgres is ready for basic and structured types. It also supports more document and geometric formats.

Rock-solid data and transactional integrity

Pivotal Postgres is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant.

Standards compliant

Pivotal Postgres conforms to at least 160 of the 179 mandatory features for SQL:2011 Core conformance.

Runs on any cloud

Install and self-manage Pivotal Postgres wherever you like. Pivotal will support it on your chosen infrastructure.

Key Features

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


Primary keys

Foreign keys

Exclusion constraints

Explicit locks, advisory locks

Reliability, Disaster Recovery

Write-ahead logging (WAL)

Replication: Asynchronous, synchronous, logical

Point-in-time-recovery (PITR), active standbys


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)

Multiversion Concurrency Control (MVCC)

Parallelization of read 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


Authentication: GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, and more

Robust access-control system

Column- and row-level security


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

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