Cloudera Distribution for Hadoop vs IBM Analytics Engine comparison

Cloudera and IBM are both solutions in the Hadoop category. Cloudera is ranked #2 with an average rating of 8.3, while IBM is ranked #10. Cloudera holds a 25.5% mindshare in H, compared to IBM’s 2.4% 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 50 Cloudera Distribution for Hadoop reviews

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1,053 Comparison Views

92% willing to recommend

IBM Analytics Engine

Read 1 IBM Analytics Engine review

153 Views
66 Comparison Views

100% willing to recommend

Cloudera Distribution for H...

IBM Analytics Engine

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Executive Summary

We performed a comparison between Cloudera Distribution for Hadoop and IBM Analytics Engine based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.

To learn more, read our detailed Hadoop Report (Updated: June 2025).

Buyer's Guide

Hadoop

June 2025

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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 Hadoop

2nd

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

NoSQL Databases (8th)

IBM Analytics Engine

Ranking in Hadoop

10th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 25.5%, up from 24.2% compared to the previous year. The mindshare of IBM Analytics Engine is 2.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop

Featured Reviews

Rok Dolinsek

Manager, Bussines Development & Co Owner at Troia d.o.o.

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.

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Saket Pandey

Product Manager at a hospitality company with 51-200 employees

Good solution for small and medium-sized businesses and highly stable

I would advise instead of only going through other reviews; it would be great if you could schedule a talk with the IBM team that would be helping you implement this solution. They would deep dive into the process and protocols you are currently set up in, and then they will provide you an optimal solution and optimal price. So I believe talking with the support team was really amazing. They even helped us in some other parts as well. It is a good solution for small and medium-sized businesses. Overall, I would rate the solution an eight out of ten because of the support team. They were able to resolve issues, which helped us deploy higher-grade solutions correctly and quickly. We were able to ensure that our processes were working correctly, and we saved about 15-16% of a week's time by using this solution. In terms of return on investment, we saved about $7,000 a month.

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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

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

"It is helpful to gather and process data."

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

"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."

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

"Customer service and support were able to fix whatever the issue was."

"The search function is the most valuable aspect of the solution."

"The product is completely secure."

More Cloudera Distribution for Hadoop pros

"The best part was that we could make minor changes in the way we were bifurcating the data, even at a very small scale. The accuracy of conversion was also very high."

Cons

"While the deployed product is generally functional, there are instances where it presents difficulties."

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

"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."

"Cloudera's support is extremely bad and cannot be relied on."

"The dashboard could be improved."

"The initial setup of Cloudera is difficult."

"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."

More Cloudera Distribution for Hadoop cons

"One area for improvement would be the initial setup stage, which took longer than expected."

Pricing and Cost Advice

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

"Cloudera requires a license to use."

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

"It is an expensive product."

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

"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."

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

"The tool is not expensive."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Educational Organization

15%

Computer Software Company

14%

Energy/Utilities Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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...

See all answers

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Comparisons

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Compared 28% of the time

Amazon EMR vs Cloudera Distribution for Hadoop

Compared 27% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 16% of the time

Cassandra vs Cloudera Distribution for Hadoop

Compared 6% of the time

Apache HBase vs Cloudera Distribution for Hadoop

Compared 4% of the time

More Cloudera Distribution for Hadoop Competitors

HPE Ezmeral Data Fabric vs IBM Analytics Engine

Compared 50% of the time

Spark SQL vs IBM Analytics Engine

Compared 50% of the time

More IBM Analytics Engine Competitors

Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

June 2025

Download Cloudera Distribution for Hadoop product report

Buyer's Guide

Hadoop

June 2025

Download IBM Analytics Engine product report

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

IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of compute notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms.

IBM

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 Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: June 2025.

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