Massively Parallel Postgres for Analytics



Experience Greenplum Database, an open-source massively parallel data platform for analytics, machine learning and AI 

Power at scale

High performance on petabyte-scale data volumes

With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput.

Greenplum is fully equipped with the analytical tools necessary to help you draw additional insights from your data. 

True Flexibility

Deploy anywhere

Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor lock-in, and allowing open influence on product direction.

Take advantage of the flexibility and choice as Greenplum can be deployed on all major public and private cloud platforms,  on-premises, and on containerized infrastructure.

All the reasons to choose Greenplum

Fully featured, integrated analytics platform

MPP Architecture

Greenplum’s massively parallel processing architecture provides automatic parallelization of all data and queries in a scale-out, shared nothing architecture.

Petabyte-Scale Loading

High-performance loading uses MPP technology. Loading speeds scale with each additional node to greater than 10 terabytes per hour, per rack.

Innovative Query Optimization

The query optimizer available in Greenplum Database is the industry’s first cost-based query optimizer for big data workloads. It can scale interactive and batch mode analytics to large datasets in the petabytes without degrading query performance and throughput.

Polymorphic Data Storage

Fully control the configuration for your table and partition storage, execution, and compression. Design your tables based on the way data is accessed. Users have the choice of row or column-oriented storage and processing for any table or partition.

Integrated In-Database Analytics

Provided by Apache MADlib, a library for scalable in-database analytics extending the SQL capabilities of Greenplum Database through user-defined functions.

Federated Data Access

Query external data sources with the Greenplum optimzer and query processing engine. Including Hadoop, Cloud Storage, ORC, AVRO, Parquet and other Polygot data stores.

Latest Events

Attend the latest Greenplum talks, meetups, and conferences

Checking Greenplum Database Status – Linux

Purpose of the Document Procedure for Greenplum Database Start / Stop / Restart on any DB versions of Greenplum servers on Linux systems. To monitor a Greenplum Database system, you[…]

Read more

OLTP workload performance improvement in Greenplum 6

Greenplum 6 contains multiple optimizations for OLTP scenarios, greatly improving the performance of simple query, insert, delete, and update operations in high concurrent situations. These improvements include: Updating the PostgreSQL[…]

Read more

Pivotal Greenplum v6 Changes and New Features

Greenplum Database version 6 has released its beta release in March 2019 and the community of users is eagerly awaiting the huge release as a GA 6.0.0 which is pending[…]

Read more

Connect With Us

Want to learn more about Greenplum? Reach out with any questions, follow us, or just say hello!