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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 December 2025, 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%
SSIS4.6%
Informatica PowerCenter4.4%
Other89.5%
Data Integration

PeerResearch reports based on Pentaho Data Integration and Analytics reviews

TypeTitleDate
CategoryData IntegrationDec 29, 2025Download
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonPentaho Data Integration and Analytics vs SSISDec 29, 2025Download
ComparisonPentaho Data Integration and Analytics vs Informatica Intelligent Data Management Cloud (IDMC)Dec 29, 2025Download
ComparisonPentaho Data Integration and Analytics vs Azure Data FactoryDec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.03.9%92%214 interviewsAdd to research
Azure Data Factory4.03.7%92%93 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 21, 2025

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 Enterprise14
Large Enterprise22
By reviewers
By visitors reading reviews
Company SizeCount
Small Business118
Midsize Enterprise78
Large Enterprise201
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
16%
Educational Organization
9%
Computer Software Company
8%
Government
7%
Manufacturing Company
7%
Healthcare Company
5%
Comms Service Provider
5%
Retailer
4%
Performing Arts
4%
University
4%
Wholesaler/Distributor
3%
Insurance Company
3%
Real Estate/Law Firm
3%
Outsourcing Company
2%
Consumer Goods Company
2%
Construction Company
2%
Marketing Services Firm
2%
Media Company
2%
Transportation Company
1%
Logistics Company
1%
Non Profit
1%
Energy/Utilities Company
1%
Recreational Facilities/Services Company
1%
Pharma/Biotech Company
1%
Hospitality Company
1%
Wellness & Fitness 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 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 Integration Developer at a tech vendor with 201-500 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 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.
BI Analyst at a computer software company with 51-200 employees3.5I use Pentaho Data Integration for data transformation and loading, particularly with AWS. It’s efficient, free, and user-friendly, although it struggles with large datasets. Integrating Python would enhance its capabilities. Talend is a notable competitor.