Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.


| Product | Market Share (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.5% |
| SSIS | 4.6% |
| Informatica PowerCenter | 4.4% |
| Other | 89.5% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Integration | Dec 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Dec 29, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs SSIS | Dec 29, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Informatica Intelligent Data Management Cloud (IDMC) | Dec 29, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Azure Data Factory | Dec 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 3.9% | 92% | 214 interviewsAdd to research |
| Azure Data Factory | 4.0 | 3.7% | 92% | 93 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 14 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 118 |
| Midsize Enterprise | 78 |
| Large Enterprise | 201 |
Pentaho Data Integration and Analytics was previously known as Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration.
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
| Author info | Rating | Review Summary |
|---|---|---|
| Principal Software Engineer at a tech vendor with 10,001+ employees | 4.0 | I 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+ employees | 3.5 | I'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 employees | 4.0 | I'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 employees | 3.5 | I'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 Analytica | 4.0 | I'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 Laberit | 3.5 | I 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 coprocenva | 4.0 | I 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 employees | 3.5 | I 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. |