Greenplum Database

Massively Parallel Data Warehouse

Powerful and interactive analytics on large volumes of data

  • Benefits
  • Features

Industry-Leading Performance

Massively parallel processing architecture hardened over the course of a decade. Utilize low-cost, commodity hardware to deliver industry-leading price-performance.


Implement a wide variety of data warehousing use-cases, with comprehensive data management, workload management and security capabilities.

Deep Analytics

Leverage standards-compliant SQL to support your Business Intelligence and reporting workloads. Utilize out-of-the box, scalable machine learning algorithms to deliver new analytical models and insight. Certified support for 3rd party visualization and analytical tools.

Pivotal is a Visionary
Pivotal continues to demonstrate market vision, addressing both the needs of operational and transactional processing...

Mark A. Beyer and Roxane Edjlali

Gartner Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics


Best-in-class, enterprise-grade analytical database.

Incorporates key performance capabilities, flexible data analytics, enterprise grade robustness, seamless integration with analytics stacks and a database management framework focused on reducing total cost of ownership.

Massively-Parallel, Shared-Nothing Database

  • Shared-nothing architecture that automates parallel processing of data and queries.
  • Petabyte-scale, parallel loading – based on massively parallel processing (MPP) Scatter/Gather Streaming™ technology.
  • Industry-leading, in-database compression technology.

Flexibility in Storage and Analytics

  • Cost-based SQL query optimizer creates query plans that execute complex joins at breakthrough performance on big data volumes.
  • Polymorphic Data Storage™, processing and compression delivers optimal performance and storage efficiency.
  • Flexible partitioning of tables at multiple levels.

Advanced Analytics Platform

  • Optimized for batch jobs with high volume, interactive jobs with low latency and trickle micro-batch jobs with high throughput.
  • Rich SQL dialect with complex join operations.
  • Library of massively parallel in-database, advanced analytics.
  • Extensibility framework for custom analytics and database functions.

Enterprise-Grade Robustness

  • Supports business continuity features such as high availability, intelligent fault detection and fast online differential recovery, full and incremental backup and disaster recovery.
  • A rich set of security and authentication features address enterprise policy and regulatory requirements.

Seamless Integration with Analytics Stacks

  • Integrates with heterogeneous Hadoop environments.
  • Offers comprehensive SQL support with online analytical processing (OLAP) extensions.
  • Integrates with in-memory data grid and object store to post process structured data.

Best-in-Class Data Management Framework

  • Servers can be added while the database remains online and fully available.
  • Performance monitoring framework allows separation of hardware and software issues.
  • One unified framework for monitoring, administration and workload management.

Case Study

Driving Revenue and Reducing Risk

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