Cloudera Distribution for Hadoop vs DataStax Enterprise comparison

Cloudera and IBM are both solutions in the NoSQL Databases category. Cloudera is ranked #8 with an average rating of 8.4, while IBM is ranked #14 with an average rating of 8.0. Cloudera holds a 3.6% mindshare in ND, compared to IBM’s 2.6% mindshare. Additionally, 92% of Cloudera users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Cloudera Distribution for H...

Read 51 Cloudera Distribution for Hadoop reviews

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741 Comparison Views

92% willing to recommend

DataStax Enterprise

Read 1 DataStax Enterprise review

711 Views
356 Comparison Views

100% willing to recommend

Cloudera Distribution for H...

DataStax Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Cloudera Distribution for Hadoop and DataStax Enterprise are competing products in the data management space. DataStax Enterprise seems to have the upper hand due to its scalability and advanced data handling features.

Features: Cloudera Distribution for Hadoop offers strong security, robust data governance, and seamless integration with various open-source projects. DataStax Enterprise provides advanced data replication, robust scalability, and high-speed data operations, making it ideal for real-time, distributed data handling.

Ease of Deployment and Customer Service: DataStax Enterprise emphasizes ease of use with a streamlined deployment process and comprehensive customer service. Cloudera Distribution for Hadoop focuses on support for integration into existing ecosystems and provides extensive documentation, but DataStax's proactive approach can offer a smoother experience.

Pricing and ROI: Cloudera Distribution for Hadoop is cost-effective, benefiting organizations using open-source technologies. DataStax Enterprise may have higher setup costs but often shows higher ROI due to its performance and scalability, with a choice dependent on budget constraints and the need for DataStax's specialized features.

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NoSQL Databases

March 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

Cloudera Distribution for H...

Ranking in NoSQL Databases

8th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Hadoop (2nd)

DataStax Enterprise

Ranking in NoSQL Databases

14th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Vector Databases (15th)

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 3.6%, up from 1.9% compared to the previous year. The mindshare of DataStax Enterprise is 2.6%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cloudera Distribution for Hadoop	3.6%
DataStax Enterprise	2.6%
Other	93.8%

NoSQL Databases

Q&A Highlights

Minoru Inui

Chief Executive Officer at Techiespod

Nov 16, 2021

Which is better and why: DataStax or Cloudera Distribution for Hadoop?

Hi @NavneetKaur, @Mohamed Gomaa, @EricLin. Perhaps you have any insights for @Minoru Inui...

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Featured Reviews

Sami Al-Yazidi

Head of Advaced Analytics & Intelligence; AGM at Alinma Bank

Integration of multiple features supports data analytics and processing

Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform.The solution offers power processing and supports different file systems and query engines. It provides parallel processing for handling many requests. The platform includes role-based access control in Cloudera Distribution for Hadoop. It secures the data itself and provides users with different roles and privileges.

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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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Quotes from Members

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

Pros

"The solution is stable."

"The solution is reliable and stable, it fits our requirements."

"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."

"Very good end-to-end security features."

"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."

"Implementing a Hadoop cluster has become relatively straight-forward using CDH."

"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."

"Very solid. Excellent user experience. good documentation."

More Cloudera Distribution for Hadoop 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."

Cons

"It could be faster and more user-friendly."

"The performance can be improved. We have experienced some performance issues."

"Spark with R integration is missing. Also, it is lacking Spark SQL support."

"The competitors provide better functionalities."

"The Cloudera training has deteriorated significantly."

"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."

"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."

"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."

More Cloudera Distribution for Hadoop 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."

Pricing and Cost Advice

"The tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."

"Cloudera Distribution for Hadoop is expensive, with support costs involved."

"The tool is not expensive."

"I haven't bought a license for this solution. I'm only using the Apache license version."

"Cloudera requires a license to use."

"The solution is fairly expensive."

"The pricing must be improved."

"I believe we pay for a three-year license."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Marketing Services Firm

10%

Comms Service Provider

Manufacturing Company

Retailer

11%

Financial Services Firm

11%

Manufacturing Company

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	9
Large Enterprise	31

No data available

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?

The tool can be deployed using different container technologies, which makes it very scalable.

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What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?

The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.

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What needs improvement with Cloudera Distribution for Hadoop?

If they could support modifying the data more easily than the current implementation, it would be beneficial.

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What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...

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What needs improvement with DataStax Enterprise?

I think DataStax Enterprise can be improved by having a hybrid on-prem and cloud solution with Astra. Better compatibility with prior versions in terms of codebases should also be improved. More wa...

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What is your primary use case for DataStax Enterprise?

DataStax Enterprise serves as the primary database for all transactional processing in my organization. DataStax Enterprise provides linear scale as well as multi-data center real-time replication ...

See all answers

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Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

March 2026

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Buyer's Guide

NoSQL Databases

March 2026

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Overview

Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

Cloudera

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

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

Find out what your peers are saying about MongoDB, Microsoft, Couchbase and others in NoSQL Databases. Updated: March 2026.

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