DataStax vs Pivotal Greenplum HD [EOL] comparison

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Executive Summary

We performed a comparison between DataStax and Pivotal Greenplum HD [EOL] based on real PeerSpot user reviews.

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Ranking
15th
out of 18 in NoSQL Databases
Views
311
Comparisons
291
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In NoSQL Databases
Buyer's Guide
NoSQL Databases
April 2024
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Comparisons
Also Known As
EMC Greenplum HD
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VMware
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Overview
Big data platform built on Apache Cassandra.
Pivotal Greenplum is a commercial fully featured data warehouse powered by the open source Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum is powered by advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
Sample Customers
ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
Samsung SDI, WGSN Group
Top Industries
VISITORS READING REVIEWS
Financial Services Firm35%
Healthcare Company9%
Computer Software Company7%
Real Estate/Law Firm7%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise11%
Large Enterprise64%
No Data Available
Buyer's Guide
NoSQL Databases
April 2024
Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: April 2024.
767,847 professionals have used our research since 2012.

DataStax is ranked 15th in NoSQL Databases while Pivotal Greenplum HD [EOL] doesn't meet the minimum requirements to be ranked in NoSQL Databases. DataStax is rated 0.0, while Pivotal Greenplum HD [EOL] is rated 0.0. On the other hand, DataStax is most compared with Cassandra, ScyllaDB and MongoDB, whereas Pivotal Greenplum HD [EOL] is most compared with .

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.