We performed a comparison between Pentaho Data Integration and Analytics and Tungsten RPA based on real PeerSpot user reviews.
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."One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"The amount of data that it loads and processes is good."
"Provides a good open source option."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"The pricing of the solution is quite good."
"Provides valuable tools working in integration with RPA tools."
"The product provided all the security controls that we asked them."
"It is very simple and easy to learn compared to any other RPA tools such as UiPath, Automation Anywhere and Blue Prism."
"The flexibility to use already-developed components is really good. You can use it for Excel-related operations and other things."
"The solution is scalable."
"You can automate browsing tasks without needing a server connection. The platform provides its browser, allowing you to run anything inside it."
"The most valuable feature of Kofax RPA is the simplicity of automating tasks."
"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."
"I would like to see improvements made for real-time data processing."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."
"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"The solution could use some AI integrated features."
"Exception handling needs to be improved."
"Kofax RPA needs to improve integration with SAP and Microsoft. The professional services offered by the tool's team is below par. Its licensing needs to be more modular."
"Automation with the latest websites is not effective. The support of newer websites developed using new technologies would improve this solution."
"The solution needs to be scalable."
"Kofax RPA could improve web-based automation and there should be a choice of what browser we can use, such as Google Chrome, instead of an inbuilt browser from Kofax RPA. Additionally, Kofax RPA is missing an orchestrator that other solutions have, such as UiPath."
"This product has room for improvement in support of aviation. The interface could be improved in the next release."
"There is really nothing special about the capabilities of this product."
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Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews while Tungsten RPA is ranked 12th in Robotic Process Automation (RPA) with 23 reviews. Pentaho Data Integration and Analytics is rated 8.0, while Tungsten RPA is rated 7.4. The top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". On the other hand, the top reviewer of Tungsten RPA writes "A stable product that provides end-to-end solutions for different business problems". Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, AWS Glue and Oracle Data Integrator (ODI), whereas Tungsten RPA is most compared with UiPath, Microsoft Power Automate, Blue Prism, Automation Anywhere (AA) and SAS Data Management. See our Pentaho Data Integration and Analytics vs. Tungsten RPA report.
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