Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.



| Product | Mindshare (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.7% |
| SSIS | 3.7% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
| Other | 91.0% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Integration | May 7, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 7, 2026 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Informatica Intelligent Data Management Cloud (IDMC) | May 7, 2026 | Download |
| Comparison | Pentaho Data Integration and Analytics vs SSIS | May 7, 2026 | Download |
| Comparison | Pentaho Data Integration and Analytics vs Informatica PowerCenter | May 7, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 3.6% | 92% | 214 interviewsAdd to research |
| Teradata | 4.1 | 1.0% | 88% | 83 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 13 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 173 |
| Midsize Enterprise | 93 |
| Large Enterprise | 174 |
With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.
What are the key features of Pentaho Data Integration and Analytics?Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.
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 Analyst at Telefonica Digital | 4.0 | I’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 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 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 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. |