100% open source
Pivotal Postgres is completely open source and includes PostgreSQL 11. 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!
We include open source PostgreSQL, as well as many important modules often required in large production deployments enterprises, like Replication Manager.
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.
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.
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.
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
UNIQUE, NOT NULL
Explicit locks, advisory locks
Reliability, Disaster Recovery
Write-ahead logging (WAL)
Replication: Asynchronous, synchronous, logical
Point-in-time-recovery (PITR), active standbys
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
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)
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