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Pentaho Data Integration and Analytics Reviews

4.0 out of 5

What is Pentaho Data Integration and Analytics?

Featured Pentaho Data Integration and Analytics reviews

Pentaho Data Integration and Analytics mindshare

As of February 2026, the mindshare of Pentaho Data Integration and Analytics in the Data Integration category stands at 1.5%, up from 1.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Pentaho Data Integration and Analytics1.5%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.5%
Other91.3%
Data Integration

PeerResearch reports based on Pentaho Data Integration and Analytics reviews

TypeTitleDate
CategoryData IntegrationFeb 27, 2026Download
ProductReviews, tips, and advice from real usersFeb 27, 2026Download
ComparisonPentaho Data Integration and Analytics vs SSISFeb 27, 2026Download
ComparisonPentaho Data Integration and Analytics vs Informatica Intelligent Data Management Cloud (IDMC)Feb 27, 2026Download
ComparisonPentaho Data Integration and Analytics vs Azure Data FactoryFeb 27, 2026Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.03.5%92%214 interviewsAdd to research
SSIS3.83.7%80%76 interviewsAdd to research
 
 
Key learnings from peers
Last updated Feb 22, 2026

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business16
Midsize Enterprise13
Large Enterprise23
By reviewers
By visitors reading reviews
Company SizeCount
Small Business126
Midsize Enterprise75
Large Enterprise182
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Educational Organization
9%
Government
8%
Computer Software Company
8%
Manufacturing Company
7%
Comms Service Provider
5%
Healthcare Company
4%
Retailer
4%
Marketing Services Firm
4%
Performing Arts
4%
University
4%
Wholesaler/Distributor
3%
Outsourcing Company
3%
Insurance Company
3%
Real Estate/Law Firm
3%
Energy/Utilities Company
2%
Consumer Goods Company
2%
Recreational Facilities/Services Company
2%
Logistics Company
2%
Hospitality Company
2%
Transportation Company
2%
Construction Company
2%
Media Company
1%
Non Profit
1%
Wellness & Fitness Company
1%
Pharma/Biotech Company
1%
Legal Firm
1%
Mining And Metals Company
1%
 
Pentaho Data Integration and Analytics Reviews Summary
Author infoRatingReview Summary
Principal Software Engineer at a tech vendor with 10,001+ employees4.0I primarily used Pentaho for data transformation and customer emails; its flexibility, custom steps, and drag-and-drop workflows saved my small team time and effort, though better documentation and easier enterprise approval would improve the experience.
Data Analyst at Telefonica Digital4.0I’ve used Pentaho for four years for telecom ETL and segmentation, finding it stable, flexible, and fast with broad connectivity, cutting runs from 2.5 hours to 7 minutes. It’s less suited to big data, real time, and cloud-native scalability.
Data Integration Developer at a tech services company with 1,001-5,000 employees4.0I've used Pentaho Data Integration for over a year to integrate and transform data from sources like Oracle, SAP, and Salesforce into Snowflake, appreciating its scalability, no-code interface, and automation, despite some memory and performance limitations.
Data architect at a tech vendor with 10,001+ employees3.5I've used Pentaho Data Integration for years, primarily for ETL tasks, and found it effective with strong data connectivity, though performance lags with large datasets; I recommend the Enterprise Edition but see room for UI and scripting improvements.
Data engineer at a educational organization with 1,001-5,000 employees3.5I've used Pentaho Data Integration for three years to build efficient ETLs, benefiting from its ease of use and broad integrations, though it can be slow to open and memory-intensive with large datasets.
Founder-CEO at Ubuntu Analytica4.0I've used Pentaho for two years to automate ETL processes, finding its drag-and-drop interface helpful and time-saving, though it struggles with environment management, Python integration, and scalability as data volume increases.
Project Manager at Laberit3.5I use Pentaho Data Integration because its drag-and-drop interface makes ETL tasks easier without coding, though documentation and plugin availability could improve; overall, it’s efficient, stable, and suits my needs for data migration and transformation.
Data Architecture and Engineering Specialist at coprocenva4.0I use Pentaho Data Integration for ETL processes, valuing its drag-and-drop feature and JavaScript support for larger datasets. While user-friendly, it’s less effective with smaller data and vendor communication is difficult. I complement it with Power BI and Microsoft Fabric.