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."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."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."
"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."
"The solution has a free to use community version."
"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."
"It is stable and scalable."
"Kofax handles UIs via the browser well. If it's not possible, they have other features like modeling screen scrapes, etc."
"The pricing of the solution is quite good."
"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."
"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."
"The best part of Kofax is that they have a whole concept. It's one product, but also has extra elements that can be integrated."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"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."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"The product needs more plugins."
"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."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."
"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."
"The product needs more AI capabilities."
"We are on version 10.6, and the current version seems to be 11. Kofax is cycling the capabilities of the product very quickly. One of the difficulties has been to actually keep up with the capabilities as they've evolved. On the one hand, it is good that the product is getting better, but on the other hand, it is difficult to implement the best way with a product that is evolving constantly."
"The solution could use some AI integrated features."
"Exception handling needs to be improved."
"This product has room for improvement in support of aviation. The interface could be improved in the next release."
"RPA technology is constantly changing, and sometimes Kofax lags behind."
"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."
"I'd like to see a recording function and a more simple interface."
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Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews while Tungsten RPA is ranked 12th in Robotic Process Automation (RPA) with 24 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, Oracle Data Integrator (ODI) and AWS Glue, 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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