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IBM Cloud Pak for Data vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
5.1
Users see improved efficiency and ROI with IBM Cloud Pak for Data, streamlining management and boosting compliance and satisfaction.
Sentiment score
7.1
Pentaho streamlines data integration, reducing costs and development time, with savings up to $75,000 annually and improved efficiency.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.
Principal Software Engineer at a tech vendor with 10,001+ employees
I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.
Data Integration Developer at a tech services company with 1,001-5,000 employees
I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.
Data Analyst at Telefonica Digital
 

Customer Service

Sentiment score
7.1
IBM Cloud Pak for Data's support is responsive, rated highly, and cost-effective, but lacks local language options and has occasional delays.
Sentiment score
5.1
Users find community resources and forums helpful for Pentaho support, but complex issues sometimes require paid assistance.
I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.
Manager at teshama
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
24/7 assistance is available for the Enterprise Edition.
Data architect at a tech vendor with 10,001+ employees
take the time to understand our business requirements, offering appropriate recommendations.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Communication with the vendor is challenging
Data Architecture and Engineering Specialist at coprocenva
 

Scalability Issues

Sentiment score
6.6
IBM Cloud Pak for Data is scalable, efficiently managing growth and large data, with high resource use noted.
Sentiment score
7.2
Pentaho Data Integration scales effectively for large datasets, though massive environments may challenge performance without cloud deployment.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.
Manager at teshama
It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.
Data engineer at a educational organization with 1,001-5,000 employees
Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.
Data Analyst at Telefonica Digital
Pentaho Data Integration handles larger datasets better.
Data Architecture and Engineering Specialist at coprocenva
 

Stability Issues

Sentiment score
7.8
IBM Cloud Pak for Data is stable with positive performance and integration, though scalability improvements are desired by some users.
Sentiment score
7.3
Pentaho Data Integration's stability varies, with reliability for small tasks but struggles with massive data and occasional bugs.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.
Data architect at a tech vendor with 10,001+ employees
I find that version 3.1 is the most stable version I have ever used.
Founder-CEO at Ubuntu Analytica
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
Data Architecture and Engineering Specialist at coprocenva
 

Room For Improvement

IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader adoption.
Pentaho Data Integration needs improved performance, scalability, cloud integration, real-time processing, updated interface, and better documentation and support.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.
Founder-CEO at Ubuntu Analytica
Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.
Data Analyst at Telefonica Digital
 

Setup Cost

IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.
Pentaho provides cost-effective data integration and analytics with a free Community Edition and a competitively priced Enterprise Edition.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.
Project Manager at Laberit
The setup cost was minimal, and the pricing experience was pretty good.
Data engineer at a educational organization with 1,001-5,000 employees
The company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.
Data Analyst at Telefonica Digital
 

Valuable Features

IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across hybrid and multi-cloud environments.
Pentaho Data Integration is user-friendly, versatile, and integrates well with data sources, supporting automation and minimal coding for efficiency.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.
Principal Software Engineer at a tech vendor with 10,001+ employees
It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.
Project Manager at Laberit
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
18th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
21
Ranking in other categories
Data Virtualization (3rd)
Pentaho Data Integration an...
Ranking in Data Integration
9th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
61
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.1%, down from 1.9% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.7%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.7%
IBM Cloud Pak for Data1.1%
Other97.2%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
Michelle Lawson - PeerSpot reviewer
Principal Software Engineer at a tech vendor with 10,001+ employees
Streamlines complex data workflows and has supported automated customer payment notifications
I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
Financial Services Firm
16%
Educational Organization
9%
Construction Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise32
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
My experience with pricing, setup cost, and licensing is that the cost of the product can be a bit higher, especially for a company working on a tight budget.
What needs improvement with IBM Cloud Pak for Data?
One of the improvements I think should be made to IBM Cloud Pak for Data is that the cost of the product is a bit higher. Besides cost, I think something that is needed for improvement is that more...
What is your primary use case for IBM Cloud Pak for Data?
My main use case for IBM Cloud Pak for Data is that it is fully scalable and a scalable platform for data. I use it to provide data solutions for my customers. I also use it to provide various indu...
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

Cloud Pak for Data
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about IBM Cloud Pak for Data vs. Pentaho Data Integration and Analytics and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.