Greenplum Description

Greenplum Database® stands out as a sophisticated, comprehensive, and open-source data warehouse solution. It excels in providing swift and robust analytics on data volumes that reach petabyte scales. Designed specifically for big data analytics, Greenplum Database is driven by a highly advanced cost-based query optimizer that ensures exceptional performance for analytical queries on extensive data sets. This project operates under the Apache 2 license, and we extend our gratitude to all current contributors while inviting new ones to join our efforts. In the Greenplum Database community, every contribution is valued, regardless of its size, and we actively encourage diverse forms of involvement. This platform serves as an open-source, massively parallel data environment tailored for analytics, machine learning, and artificial intelligence applications. Users can swiftly develop and implement models aimed at tackling complex challenges in fields such as cybersecurity, predictive maintenance, risk management, and fraud detection, among others. Dive into the experience of a fully integrated, feature-rich open-source analytics platform that empowers innovation.

Pricing

Free Version:
Yes

Integrations

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
Greenplum Database
Year Founded:
2003
Headquarters:
United States
Website:
greenplum.org

Media

Recommended Products
99.99% Uptime for MySQL and PostgreSQL Databases Icon
99.99% Uptime for MySQL and PostgreSQL Databases

Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Start Free

Product Details

Platforms
Web-Based
Windows
Mac
Linux
Types of Training
Training Docs
Live Training (Online)
Webinars
Customer Support
Live Rep (24/7)
Online Support

Greenplum User Reviews

Write a Review
  • Previous
  • Next