

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.
I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.
I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.
One of our customers said that one RPA robot could do three-person jobs, and they were able to reduce their workforce accordingly.
24/7 assistance is available for the Enterprise Edition.
take the time to understand our business requirements, offering appropriate recommendations.
Communication with the vendor is challenging
It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.
Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.
Pentaho Data Integration handles larger datasets better.
Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.
I find that version 3.1 is the most stable version I have ever used.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.
Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.
Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.
The lack of a developer community in Tungsten RPA is a red flag for us and for customers.
I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.
The setup cost was minimal, and the pricing experience was pretty good.
The company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.
Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.
It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.
Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.
If you don't have a computer science background, you can easily use Tungsten RPA because this is a low-code platform and it is easier than other RPA tools.
| Product | Mindshare (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.7% |
| SSIS | 3.7% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
| Other | 91.0% |
| Product | Mindshare (%) |
|---|---|
| Tungsten RPA | 2.0% |
| UiPath Platform | 10.8% |
| Microsoft Power Automate | 7.3% |
| Other | 79.9% |


| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 17 |
| Large Enterprise | 31 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 1 |
| Large Enterprise | 18 |
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.
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.
Tungsten RPA offers a sophisticated automation platform designed for seamless integration with enterprise systems. It's known for its robust functionalities in document processing, web automation, and delivering efficient business workflows.
Designed to streamline complex operations, Tungsten RPA supports integrations with major platforms like SAP and ERP tools, known for enhancing business efficiency. It provides powerful OCR capabilities and is characterized by a low-code environment, which simplifies automation tasks. Despite its strengths, there's a need for improvements in community support, documentation, and emerging AI functionalities. Expanding its desktop automation, scalability, and system connections, especially with Microsoft and Citrix, is imperative for broader adoption.
What are the key features of Tungsten RPA?Tungsten RPA is employed across sectors like finance, healthcare, aviation, and logistics for automating crucial business functions. It aids in automating repetitive tasks, data extraction, and process automation in ERP and SharePoint systems. Businesses leverage its capabilities for website automation, handling employee data, and streamlining operations in finance and HR. It enhances customer service operations, document processing, and market data collection, effectively reducing manual workload and boosting operational efficiency.
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