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Pentaho Data Integration and Analytics vs SAS Data Management 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
7.1
Pentaho streamlines data integration, reducing costs and development time, with savings up to $75,000 annually and improved efficiency.
Sentiment score
6.1
SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.
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
Reliable data plus less human intervention and less error result in a strong return on investment.
Biostatistician at Lambda Therapeutic Research Ltd.
 

Customer Service

Sentiment score
5.1
Users find community resources and forums helpful for Pentaho support, but complex issues sometimes require paid assistance.
Sentiment score
7.3
SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.
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
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
Data Scientist & Scrum Master at Volvo Group
 

Scalability Issues

Sentiment score
7.2
Pentaho Data Integration scales effectively for large datasets, though massive environments may challenge performance without cloud deployment.
Sentiment score
7.0
SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.
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
7.3
Pentaho Data Integration's stability varies, with reliability for small tasks but struggles with massive data and occasional bugs.
Sentiment score
7.3
SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.
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

Pentaho Data Integration needs improved performance, scalability, cloud integration, real-time processing, updated interface, and better documentation and support.
Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.
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
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
Associate Director at Woodpecker Analytics & Services
SAS Data Management can be improved in terms of the learning curve.
Biostatistician at Lambda Therapeutic Research Ltd.
 

Setup Cost

Pentaho provides cost-effective data integration and analytics with a free Community Edition and a competitively priced Enterprise Edition.
SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.
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
From my experience, SAS Data Management is an expensive tool.
Associate Director at Woodpecker Analytics & Services
 

Valuable Features

Pentaho Data Integration is user-friendly, versatile, and integrates well with data sources, supporting automation and minimal coding for efficiency.
SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.
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
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Associate Director at Woodpecker Analytics & Services
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
Data Scientist & Scrum Master at Volvo Group
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
Biostatistician at Lambda Therapeutic Research Ltd.
 

Categories and Ranking

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
SAS Data Management
Ranking in Data Integration
27th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
19
Ranking in other categories
Data Quality (8th), Data Governance (23rd)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.7%, down from 1.7% compared to the previous year. The mindshare of SAS Data Management is 1.2%, up from 1.0% 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%
SAS Data Management1.2%
Other97.1%
Data Integration
 

Featured Reviews

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.
Namanjbaraiya Baru - PeerSpot reviewer
Biostatistician at Lambda Therapeutic Research Ltd.
Data management has ensured compliant clinical trial datasets and supports reliable analysis
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
9%
Educational Organization
8%
Outsourcing Company
7%
Financial Services Firm
16%
Construction Company
8%
Outsourcing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise32
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

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...
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
SAS Data Management can be improved in terms of the learning curve.
What is your primary use case for SAS Data Management?
My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Pentaho Data Integration and Analytics vs. SAS Data Management and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.