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Cassandra vs Cloudera Distribution for Hadoop comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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
4th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
23
Ranking in other categories
Vector Databases (15th)
Cloudera Distribution for H...
Ranking in NoSQL Databases
8th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
50
Ranking in other categories
Hadoop (2nd)
 

Mindshare comparison

As of April 2025, in the NoSQL Databases category, the mindshare of Cassandra is 10.8%, down from 12.8% compared to the previous year. The mindshare of Cloudera Distribution for Hadoop is 1.9%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases
 

Featured Reviews

Himanshu Amodwala - PeerSpot reviewer
Well-equipped to handle a massive influx of data and billions of requests
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. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.
Rok Dolinsek - PeerSpot reviewer
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.

Quotes from Members

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

Pros

"The time series data was one of the best features along with auto publishing."
"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."
"We can add almost one million columns to the solution."
"Our primary use case for the solution is testing."
"I am satisfied with the performance."
"I'd rate the solution ten out of ten."
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."
"The solution is stable."
"Very good end-to-end security features."
"This is the only solution that is possible to install on-premise."
"The tool can be deployed using different container technologies, which makes it very scalable."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
 

Cons

"The disc space is lacking. You need to free it up as you are working."
"Batching bulk data can cause performance issues."
"Interface is not user friendly."
"Cassandra could be more user-friendly like MongoDB."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"The solution doesn't have joins between tables so you need other tools for that."
"There could be more integration, and it could be more user-friendly."
"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."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"The pricing needs to improve."
"The dashboard could be improved."
"There are better solutions out there that have more features than this one."
"The governance aspect of the solution should be improved."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
 

Pricing and Cost Advice

"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."
"I use the tool's open-source version."
"We pay for a license."
"I don't have the specific numbers on pricing, but it was fairly priced."
"The product’s price depends from project to project."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The pricing must be improved."
"The solution is fairly expensive."
"The tool is not expensive."
"I believe we pay for a three-year license."
"The price is very high. The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Healthcare Company
5%
Manufacturing Company
5%
Financial Services Firm
24%
Computer Software Company
15%
Educational Organization
12%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
What needs improvement with Cassandra?
Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem. About a year ago, we were unable to recover data without help from a senior Dev...
What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
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?
It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation. Integrating wit...
 

Overview

 

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
Find out what your peers are saying about Cassandra vs. Cloudera Distribution for Hadoop and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.