DataStax Enterprise vs HPE Ezmeral Data Fabric comparison

The compared DataStax and Hewlett Packard Enterprise solutions aren't in the same category. DataStax is ranked #20 in ND , and holds a 1.4% mindshare in the category. Hewlett Packard Enterprise is ranked #4 in H , with an average rating of 8.0, and holds a 14.2% mindshare. Additionally, 100% of Hewlett Packard Enterprise users are willing to recommend the solution.

DataStax Enterprise

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224 Comparison Views

HPE Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

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969 Comparison Views

100% willing to recommend

DataStax Enterprise

HPE Ezmeral Data Fabric

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Executive Summary

We performed a comparison between DataStax Enterprise and HPE Ezmeral Data Fabric based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: August 2025).

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NoSQL Databases

August 2025

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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

Ranking in other categories

NoSQL Databases (20th), Vector Databases (19th)

HPE Ezmeral Data Fabric

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Hadoop (4th)

Mindshare comparison

DataStax Enterprise and HPE Ezmeral Data Fabric aren’t in the same category and serve different purposes. DataStax Enterprise is designed for NoSQL Databases and holds a mindshare of 1.4%, up 1.1% compared to last year.
HPE Ezmeral Data Fabric, on the other hand, focuses on Hadoop, holds 14.2% mindshare, up 13.5% since last year.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
DataStax Enterprise	1.4%
MongoDB Enterprise Advanced	16.7%
ScyllaDB	9.0%
Other	72.9%

NoSQL Databases

Hadoop Market Share Distribution
Product	Market Share (%)
HPE Ezmeral Data Fabric	14.2%
Cloudera Distribution for Hadoop	22.1%
Apache Spark	19.3%
Other	44.400000000000006%

Hadoop

Featured Reviews

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Hamid M. Hamid

Data architect at Banking Sector

A stable and scalable tool that serves as a great database

The initial setup of HPE Ezmeral Data Fabric is easy. I am not sure how long it took to deploy HPE Ezmeral Data Fabric, but I haven't heard about any disadvantages when it comes to the time taken for the deployment. I remember that one of our company's clients who had purchased the product never mentioned the product's setup phase being complex. One of the drawbacks with HPE Ezmeral Data Fabric stems from the fact that the product's upgrade was not straightforward, and it was a complex process since one of the teams in my company who deals with the tool found the upgrade part to be tough. The solution is deployed on an on-premises model. My company has two dedicated staff members to look after the deployment and maintenance phases of HPE Ezmeral Data Fabric.

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Computer Software Company

13%

Comms Service Provider

11%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

Questions from the Community

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What do you like most about HPE Ezmeral Data Fabric?

It is a stable solution...It is a scalable solution.

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What needs improvement with HPE Ezmeral Data Fabric?

There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric is not compatible with third-party tools. For example, HPE Ezmeral Data Fabri...

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What is your primary use case for HPE Ezmeral Data Fabric?

The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data with the help of HPE Ezmeral Data Fabric. It is possible to use Spark engine with ...

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Comparisons

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Compared 34% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 18% of the time

Elastic Search vs DataStax Enterprise

Compared 12% of the time

ScyllaDB vs DataStax Enterprise

Compared 11% of the time

MongoDB Enterprise Advanced vs DataStax Enterprise

Compared 10% of the time

More DataStax Enterprise Competitors

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 51% of the time

Cloudera Data Platform vs HPE Ezmeral Data Fabric

Compared 16% of the time

Apache Spark vs HPE Ezmeral Data Fabric

Compared 13% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 10% of the time

IBM Analytics Engine vs HPE Ezmeral Data Fabric

Compared 9% of the time

More HPE Ezmeral Data Fabric Competitors

Product Reports

Buyer's Guide

NoSQL Databases

August 2025

Download DataStax Enterprise product report

Buyer's Guide

HPE Ezmeral Data Fabric

September 2025

Download HPE Ezmeral Data Fabric product report

Also Known As

No data available

MapR, MapR Data Platform

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

DataStax

Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

Hewlett Packard Enterprise

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: August 2025.

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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.