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DataStax Enterprise vs HPE Data Fabric comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DataStax Enterprise
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
NoSQL Databases (20th), Vector Databases (20th)
HPE Data Fabric
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
Hadoop (4th)
 

Mindshare comparison

DataStax Enterprise and HPE Data Fabric aren’t in the same category and serve different purposes. DataStax Enterprise is designed for NoSQL Databases and holds a mindshare of 1.6%, up 0.9% compared to last year.
HPE Data Fabric, on the other hand, focuses on Hadoop, holds 14.6% mindshare, up 13.5% since last year.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
DataStax Enterprise1.6%
MongoDB Enterprise Advanced16.2%
ScyllaDB9.0%
Other73.2%
NoSQL Databases
Hadoop Market Share Distribution
ProductMarket Share (%)
HPE Data Fabric14.6%
Cloudera Distribution for Hadoop19.1%
Apache Spark17.1%
Other49.199999999999996%
Hadoop
 

Featured Reviews

Use DataStax Enterprise?
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Arnab Chatterjee - PeerSpot reviewer
It's flexible and easily accessible across multiple locations, but the upgrade process is complicated
Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work. They're transforming their host stack to increase cloud readiness and edge compute capability. HPE is transitioning from a standard data-driven approach to one powered by AI analytics. That's something they have released very recently. I haven't tried that, but it will probably make things easier. The ability to adapt Ezmeral to the public cloud is probably missing. I've heard that they're getting leaner. However, it doesn't have a clear managed services offering for you if you want to deploy this stack on the cloud. That's a problem. This probably won't meet your needs if you require consistency across on-prem and the cloud. It's not Ezmeral's fault. None of the products would fit the bill. Cloud offerings are biased towards their own implementation. It's a general issue on most big data platforms. They're already working towards that, but it hasn't been released.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Comms Service Provider
12%
Computer Software Company
12%
Performing Arts
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
 

Also Known As

No data available
MapR, MapR Data Platform
 

Overview

 

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Find out what your peers are saying about MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: October 2025.
873,003 professionals have used our research since 2012.