Cassandra vs Cloudera Distribution for Hadoop comparison

Apache and Cloudera are both solutions in the NoSQL Databases category. Apache is ranked #7 with an average rating of 8.1, while Cloudera is ranked #8 with an average rating of 8.4. Apache holds a 7.8% mindshare in ND, compared to Cloudera’s 3.6% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 92% of Cloudera users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,478 Views
1,611 Comparison Views

92% willing to recommend

Cloudera Distribution for H...

Read 51 Cloudera Distribution for Hadoop reviews

2,315 Views
741 Comparison Views

92% willing to recommend

Cassandra

Cloudera Distribution for H...

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Executive SummaryUpdated on Jan 7, 2025

Cloudera Distribution for Hadoop and Cassandra compete in the data management solutions category. Cloudera seems to have the upper hand in centralized management and comprehensive data governance, compared to Cassandra's strengths in scalability and high availability.

Features: Cloudera offers features like Impala for fast data processing, Sentry for enhanced security, and Cloudera Manager for centralized administration. Cassandra provides a NoSQL schema, linear scalability, and automated replication, making it suitable for large-scale data handling and quick real-time analytics.

Room for Improvement: Cloudera faces challenges with version stability, complex setup processes, and costs due to its licensing model. Integration with Spark and improved API documentation are areas needing enhancement. Cassandra could benefit from better query optimization and user-friendly documentation. It lacks built-in aggregation functions requiring third-party tools for complex queries.

Ease of Deployment and Customer Service: Cloudera is primarily deployed on-premises but supports cloud options; customer service feedback is mixed, with some praising the support and others noting inconsistency. Cassandra offers flexible deployment across cloud and on-premises setups and receives positive feedback for its supportive community and effective forums.

Pricing and ROI: Cloudera's licensing model can be cost-prohibitive for smaller companies, though larger enterprises find value in its features despite the high costs. Cassandra, as an open-source solution, offers economical data management with lowered operational costs, making it attractive for cost-conscious enterprises seeking high ROI.

To learn more, read our detailed Cassandra vs. Cloudera Distribution for Hadoop Report (Updated: March 2026).

Buyer's Guide

Cassandra vs. Cloudera Distribution for Hadoop

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

Cassandra

Ranking in NoSQL Databases

7th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (14th)

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)

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Cassandra is 7.8%, down from 11.5% compared to the previous year. The mindshare of Cloudera Distribution for Hadoop is 3.6%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	7.8%
Cloudera Distribution for Hadoop	3.6%
Other	88.6%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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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Quotes from Members

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

Pros

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

"The solution's database capabilities are very good."

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"We can add almost one million columns to the solution."

"The time series data was one of the best features along with auto publishing."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

More Cassandra pros

"The solution's most valuable feature is the enterprise data platform."

"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."

"We had a data warehouse before all the data. We can process a lot more data structures."

"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."

"Cloudera, as a whole, is designed to provide organizations with solutions for big data."

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

"This is the only solution that is possible to install on-premise."

"It is helpful to gather and process data."

More Cloudera Distribution for Hadoop pros

Cons

"Batching bulk data can cause performance issues."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."

"Interface is not user friendly."

"The disc space is lacking. You need to free it up as you are working."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"We have had stability issues including out of memory issues and crashes with earlier versions of the product."

"The solution doesn't have joins between tables so you need other tools for that."

More Cassandra cons

"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."

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

"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."

"It needs more standardized documentation on Hive."

"Flume seems unstable and has to be restarted quite often."

"We found some difficulties when importing Hive tables from another cluster."

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

"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."

More Cloudera Distribution for Hadoop cons

Pricing and Cost Advice

"I don't have the specific numbers on pricing, but it was fairly priced."

"I use the tool's open-source version."

"We pay for a license."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"We are using the open-source version of Cassandra, the solution is free."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"It is an expensive product."

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

"The solution is expensive."

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

"The product’s price depends from project to project."

"The tool is not expensive."

"Cloudera requires a license to use."

"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."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Retailer

Financial Services Firm

20%

Marketing Services Firm

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

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

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...

See all answers

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

What do you like most about Cloudera Distribution for Hadoop?

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

See all answers

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.

See all answers

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.

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 10% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 10% of the time

Couchbase Enterprise vs Cassandra

Compared 6% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Milvus vs Cassandra

Compared 4% of the time

More Cassandra Competitors

HPE Data Fabric vs Cloudera Distribution for Hadoop

Compared 10% of the time

MongoDB Enterprise Advanced vs Cloudera Distribution for Hadoop

Compared 8% of the time

Amazon EMR vs Cloudera Distribution for Hadoop

Compared 7% of the time

Couchbase Enterprise vs Cloudera Distribution for Hadoop

Compared 7% of the time

DataStax Enterprise vs Cloudera Distribution for Hadoop

Compared 4% of the time

More Cloudera Distribution for Hadoop Competitors

Product Reports

Buyer's Guide

Cassandra

March 2026

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Buyer's Guide

Cloudera Distribution for Hadoop

March 2026

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Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. Cloudera Distribution for Hadoop

March 2026

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