We performed a comparison between Azure Data Factory 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."The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The best part of this product is the extraction, transformation, and load."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"An excellent tool for pipeline orchestration."
"I like the basic features like the data-based pipelines."
"It is beneficial that the solution is written with Spark as the back end."
"The function of the solution is great."
"The flexibility to use already-developed components is really good. You can use it for Excel-related operations and other things."
"The most valuable feature of Kofax RPA is the simplicity of automating tasks."
"The product saves time and resources."
"The most valuable features are workflow and process automation."
"The OCR was quite stable and flexible."
"The drag and drop functionality is quite good."
"The product provided all the security controls that we asked them."
"The ability to script information from websites is most valuable. It also seems to be fairly robust and reasonably easy to manage on a server-based deployment. We have a number of robots operating on the central server."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"The initial setup is not very straightforward."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"It would be better if it had machine learning capabilities."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Exception handling needs to be improved."
"There is really nothing special about the capabilities of this product."
"The product should improve desktop automation, which is hard to configure. It needs to have custom connectors. It is the only advantage that Microsoft Power Platform has over Kofax RPA. It has more than 800 custom connectors."
"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."
"The technical support must 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."
"It needs a free training portal for anybody on the internet to use so that they can get an idea of what the possibilities are."
"Automation with the latest websites is not effective. The support of newer websites developed using new technologies would improve this solution."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Tungsten RPA is ranked 12th in Robotic Process Automation (RPA) with 24 reviews. Azure Data Factory is rated 8.0, while Tungsten RPA is rated 7.4. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Tungsten RPA writes "A stable product that provides end-to-end solutions for different business problems". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Tungsten RPA is most compared with UiPath, Microsoft Power Automate, Blue Prism, Automation Anywhere (AA) and HyperScience. See our Azure Data Factory vs. Tungsten RPA report.
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