Pivotal
Greenplum Database

Discover Opportunities in Your Data and Take Action

Powerful and rapid analytics on very large volumes of data

  • Benefits
  • Features

Optimal Cost, Performance and Flexibility

Implement a wide variety of enterprise data analytic use cases at a massive scale by leveraging flexible data models and storage, deep machine learning and out-of-the-box integration with data analytics and visualization tools.


Shorten Your Data-Driven Innovation Cycles

Rapidly develop deep analytics using standard toolsets and languages – including Structured Query Language (SQL), Python, Ruby and Java. Significantly shorten data-driven innovation cycles by combining discovery-based analysis of large data sets with rapid development of data analytics applications.


Perform Business-Critical Analytic Tasks

Perform the most business-critical analytical tasks out-of-the-box by leveraging the mature set of encryption, authentication, high-availability, geo-redundancy capabilities. Adhere to the most demanding security and regulatory policies and business continuity SLAs.



Features

Best-in-class, enterprise-grade analytical data warehouse.


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.
  • 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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