DataStax Enterprise vs HPE Data Fabric comparison

The compared IBM and Hewlett Packard Enterprise solutions aren't in the same category. IBM is ranked #19 in ND , and holds a 2.3% mindshare in the category. Hewlett Packard Enterprise is ranked #4 in H , and holds a 14.3% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Hewlett Packard Enterprise users who would recommend it.

DataStax Enterprise

Read 1 DataStax Enterprise review

635 Views
298 Comparison Views

100% willing to recommend

HPE Data Fabric

Read 12 HPE Data Fabric reviews

1,233 Views
986 Comparison Views

100% willing to recommend

DataStax Enterprise

HPE Data Fabric

Comparison Buyer's Guide

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Executive Summary

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

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NoSQL Databases

February 2026

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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

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

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

HPE 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 Data Fabric aren’t in the same category and serve different purposes. DataStax Enterprise is designed for NoSQL Databases and holds a mindshare of 2.3%, up 0.8% compared to last year.
HPE Data Fabric, on the other hand, focuses on Hadoop, holds 14.3% mindshare, down 14.6% since last year.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
DataStax Enterprise	2.3%
MongoDB Enterprise Advanced	13.9%
Redis	9.1%
Other	74.7%

NoSQL Databases

Hadoop Market Share Distribution
Product	Market Share (%)
HPE Data Fabric	14.3%
Cloudera Distribution for Hadoop	14.0%
Apache Spark	13.4%
Other	58.3%

Hadoop

Featured Reviews

Suzanne Kimono

Senior Software Engineer at Deloitte

Continuous data access has ensured high uptime and has supported real-time transactional processing

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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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.

Read full review

Quotes from Members

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

Pros

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."

"The model creation was very interesting, especially with the libraries provided by the platform."

"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

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

"I like the administration part."

"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."

Cons

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"HPE Ezmeral Data Fabric is not compatible with third-party tools."

"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."

"The deployment could be faster. I want more support for the data lake in the next release."

"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."

"The product is not user-friendly."

Pricing and Cost Advice

Information not available

"There is a need for my company to pay for the licensing costs of the solution."

"The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."

"HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."

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Top Industries

By visitors reading reviews

Energy/Utilities Company

12%

Financial Services Firm

12%

Computer Software Company

12%

Retailer

12%

Financial Services Firm

18%

Comms Service Provider

Performing Arts

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

Comparisons

Pinecone vs DataStax Enterprise

Compared 15% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 12% of the time

ScyllaDB vs DataStax Enterprise

Compared 12% of the time

Cassandra vs DataStax Enterprise

Compared 10% of the time

ClickHouse vs DataStax Enterprise

Compared 8% of the time

More DataStax Enterprise Competitors

Cloudera Distribution for Hadoop vs HPE Data Fabric

Compared 20% of the time

Cloudera Data Platform vs HPE Data Fabric

Compared 16% of the time

Apache Spark vs HPE Data Fabric

Compared 11% of the time

Amazon EMR vs HPE Data Fabric

Compared 9% of the time

IBM Spectrum Computing vs HPE Data Fabric

Compared 9% of the time

More HPE Data Fabric Competitors

Product Reports

Buyer's Guide

NoSQL Databases

February 2026

Download DataStax Enterprise product report

Buyer's Guide

HPE Data Fabric

February 2026

Download HPE 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.

IBM

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: February 2026.

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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.