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Cloudera Distribution for Hadoop vs Couchbase Server comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 11, 2026

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
10th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (2nd)
Couchbase Server
Ranking in NoSQL Databases
16th
Average Rating
9.0
Reviews Sentiment
2.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 5.5%, up from 2.2% compared to the previous year. The mindshare of Couchbase Server is 2.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Cloudera Distribution for Hadoop5.5%
Couchbase Server2.2%
Other92.3%
NoSQL Databases
 

Featured Reviews

SA
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.
Anuj Gupta - PeerSpot reviewer
Devops Specialist at Amdocs
High availability for large billing data has supported telecom orders but monitoring still needs work
Since working with Couchbase Server starting from version 6, where only scopes and collections were available, I have seen numerous improvements with the release of version 7, especially as bugs identified in version 6 were addressed by the Couchbase Server team. One specific outcome I have noticed is identifying constraints such as not being able to create more than thirty buckets, which we notified the Couchbase Server team about, along with several missing monitoring parameters; they worked with us to provide better solutions in terms of monitoring and the metrics we require for our production monitoring setups, ensuring our production is up and running smoothly. Regarding improvements, I feel that the current dedicated monitoring, such as CMX offered by Couchbase Server, requires enhancements for better identification of issues, especially since the market is moving towards AI-driven solutions, and I believe Couchbase Server is working on improving its AI capabilities. Couchbase Server requires more enhancement, particularly with the MCP launched by Couchbase Server which is not yet fully functional and offers limited tools that are not beneficial for automating production workflows. Regarding the accuracy and reliability of Couchbase Server's AI capabilities, I perceive there are gaps since the tools are not being developed maturely and require more developed solutions for our agent workflows to facilitate automation with AI agents.

Quotes from Members

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

Pros

"Implementing a Hadoop cluster has become relatively straight-forward using CDH."
"I like the combination of all the tools that allow me to provide solutions and enable me to solve the use cases I'm working on."
"The product as a whole is good."
"Cloudera is doing a great job in the field offering an enterprise ready data platform."
"Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests."
"After Hadoop implementation they are getting confidence that now analysis is more appropriate and fast."
"The solution is stable."
"We switched because Cloudera just works."
"Couchbase Server is an absolute powerhouse for high-velocity modern enterprise applications and bridges the gap between flexible schema advantages of NoSQL and the rigid, trusted query capabilities of relational databases beautifully."
"I would advise others considering Couchbase Server to note that compared to other tools such as MongoDB, it is easier to use, reliable, and offers high availability while continually adding more features, making it a suitable choice, especially for large data environments."
"I primarily use Couchbase Server for cache because this cache is very useful and the performance is excellent."
 

Cons

"There are multiple bugs when we update."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The Data Science Workbench doesn't support multiple languages. It needs to support multiple programming languages."
"On same ground I didn't see much training materials from Cloudera."
"The Cloudera training has deteriorated significantly."
"This is a very expensive solution."
"Spark with R integration is missing. Also, it is lacking Spark SQL support."
"Cloudera is not as easy, as it requires more DevOps resources than other solutions."
"Couchbase Server requires more enhancement, particularly with the MCP launched by Couchbase Server which is not yet fully functional and offers limited tools that are not beneficial for automating production workflows."
 

Pricing and Cost Advice

"The solution is expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The pricing must be improved."
"It is an expensive product."
"The price could be better for the product."
"I wouldn't recommend CDH to others because of its high cost."
"The tool is not expensive."
"Cloudera requires a license to use."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Construction Company
10%
Marketing Services Firm
8%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise9
Large Enterprise32
No data available
 

Questions from the Community

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.
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.
What is your primary use case for Cloudera Distribution for Hadoop?
We use Cloudera Distribution for Hadoop for many use cases including analytics, storing huge data sets, and various data processing tasks.
What needs improvement with Couchbase Server?
The administrative dashboard web UI of Couchbase Server could benefit from more interactive visual mapping tools for complex, multi-document transactional tracking, which would help in simplifying ...
What is your primary use case for Couchbase Server?
Couchbase Server serves as the primary use case for our real-time web and mobile application backend with caching. We utilize Couchbase Server for microservice session isolation in our Java Spring ...
What advice do you have for others considering Couchbase Server?
Couchbase Server is an absolute powerhouse for high-velocity modern enterprise applications and bridges the gap between flexible schema advantages of NoSQL and the rigid, trusted query capabilities...
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Information Not Available
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. Couchbase Server and other solutions. Updated: June 2026.
900,228 professionals have used our research since 2012.