Greenplum

Greenplum

Greenplum Database
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About

Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform.

About

IBM Db2 Event Store is a cloud-native database system that is designed to handle massive amounts of structured data that is stored in Apache Parquet format. Because it is optimized for event-driven data processing and analysis, this high-speed data store can capture, analyze, and store more than 250 billion events per day. The data store is flexible and scalable to adapt quickly to your changing business needs. With the Db2 Event Store service, you can create these data stores in your Cloud Pak for Data cluster so that you can govern the data and use it for more in-depth analysis. You need to rapidly ingest large amounts of streaming data (up to one million inserts per second per node) and use it for real-time analytics with integrated machine learning capabilities. Analyze incoming data from different medical devices in real time to provide better health outcomes for patients while providing cost savings for moving the data to storage.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professionals looking for an open-source massively parallel data platform for analytics, machine learning and AI

Audience

Organizations in need of a cloud-native database solution to handle massive amounts of structured data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Greenplum Database
Founded: 2003
United States
greenplum.org

Company Information

IBM
Founded: 1911
United States
www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0

Alternatives

Citus

Citus

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Alternatives

Categories

Categories

Integrations

Advanced Query Tool (AQT)
Apache Parquet
Arcion
Baidu Sugar
DBHawk
Docker
Emgage
Hadoop
Huawei Cloud Data Lake Governance Center
Hue
IRI Fast Extract (FACT)
IRI Voracity
Progress DataDirect
RazorSQL
Satori
ScaleGrid
Semarchy xDI
Wyn Enterprise
Yandex Data Transfer
sqlmap

Integrations

Advanced Query Tool (AQT)
Apache Parquet
Arcion
Baidu Sugar
DBHawk
Docker
Emgage
Hadoop
Huawei Cloud Data Lake Governance Center
Hue
IRI Fast Extract (FACT)
IRI Voracity
Progress DataDirect
RazorSQL
Satori
ScaleGrid
Semarchy xDI
Wyn Enterprise
Yandex Data Transfer
sqlmap
Claim Greenplum and update features and information
Claim Greenplum and update features and information
Claim IBM Db2 Event Store and update features and information
Claim IBM Db2 Event Store and update features and information