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 | 1.8% |
| Informatica PowerCenter | 8.1% |
| Azure Data Factory | 7.4% |
| Other | 82.7% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Integration | Aug 28, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 28, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Azure Data Factory | Aug 28, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs SSIS | Aug 28, 2025 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Informatica PowerCenter | Aug 28, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 4.3% | 93% | 186 interviewsAdd to research |
| Azure Data Factory | 4.0 | 7.4% | 92% | 92 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 94 |
| Midsize Enterprise | 71 |
| Large Enterprise | 239 |
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 |
|---|---|---|
| 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. |
| Assosiate Partner at Autana Business Partners | 3.5 | I find Pentaho Data Integration and Analytics easy to use and install, particularly for small data volumes, though it struggles with larger datasets compared to Talend or Informatica. The excellent price-to-functionality ratio saves us up to 30%. |
| Senior Product Manager at a retailer with 10,001+ employees | 5.0 | I found Pentaho Data Integration and Analytics to be a lightweight, user-friendly tool ideal for transforming and migrating data across various sources. It's excellent for small to large companies, though processing large data volumes requires testing, particularly in its enterprise edition. |
| Enterprise Data Architect at a manufacturing company with 201-500 employees | 4.5 | No summary available |
| BI developer at Jubilee Life Insurance Company Ltd | 3.5 | I use Pentaho Data Integration and Analytics to gather data from various sources like APIs and databases, finding it user-friendly and easier to comprehend than IBM DataStage. However, it needs improvements in data warehouse control and size reduction. |
| Senior Data Engineer at Burgiss | 3.5 | No summary available |
| Senior Engineer at a comms service provider with 501-1,000 employees | 3.5 | No summary available |
