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Cloudera Distribution for Hadoop vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.1
Assessing ROI from Cloudera for Hadoop varies, with significant value seen in 30 use cases across departments.
Sentiment score
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
 

Customer Service

Sentiment score
6.7
Cloudera's customer support is praised for responsiveness and efficiency, despite occasional challenges with less experienced consultants.
Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
The technical support is quite good and better than IBM.
Communication with the vendor is challenging
 

Scalability Issues

Sentiment score
7.6
Cloudera Distribution for Hadoop is scalable, supporting large deployments and user bases despite challenges in cloud scalability and cost.
Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
Pentaho Data Integration handles larger datasets better.
 

Stability Issues

Sentiment score
7.5
Cloudera Distribution's stability is debated; some experience issues, while others find it reliable, rating it 8-10 out of 10.
Sentiment score
7.1
Pentaho Data Integration offers reliability for small to midsize operations but may lag and freeze with complex uses.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
 

Room For Improvement

Cloudera Distribution for Hadoop struggles with performance, integration, security, and cost, needing enhancements in multiple facets and technologies.
Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
Integrating with Active Directory, managing security, and configuration are the main concerns.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
 

Setup Cost

Cloudera Distribution for Hadoop is costly, complex, suitable for large enterprises, and offers a 60-day free trial.
Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
It can be deployed on-premises, unlike competitors' cloud-only solutions.
 

Valuable Features

Cloudera Distribution for Hadoop excels with robust features, security, scalability, AI support, and strong community, surpassing competitors.
Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
This is the only solution that is possible to install on-premise.
It's easy to use and friendly, especially for larger data sets.
 

Categories and Ranking

Cloudera Distribution for H...
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
50
Ranking in other categories
Hadoop (2nd), NoSQL Databases (8th)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
Data Integration (22nd)
 

Mindshare comparison

Cloudera Distribution for Hadoop and Pentaho Data Integration and Analytics aren’t in the same category and serve different purposes. Cloudera Distribution for Hadoop is designed for Hadoop and holds a mindshare of 25.0%, up 23.0% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.6% mindshare, up 0.6% since last year.
Hadoop
Data Integration
 

Featured Reviews

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.
Ryan Ferdon - PeerSpot reviewer
Low-code makes development faster than with Python, but there were caching issues
If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
15%
Educational Organization
13%
Manufacturing Company
6%
Financial Services Firm
22%
Computer Software Company
15%
Government
8%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
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...
Which ETL tool would you recommend to populate data from OLTP to OLAP?
Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...
What do you think can be improved with Hitachi Lumada Data Integrations?
In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...
What do you use Hitachi Lumada Data Integrations for most frequently?
My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...
 

Also Known As

No data available
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: March 2025.
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