We performed a comparison between Azure Data Factory and Palantir Gotham based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."In terms of my personal experience, it works fine."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"It is easy to integrate."
"An excellent tool for pipeline orchestration."
"The best part of this product is the extraction, transformation, and load."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"This solution is seamless. From one platform, we can do just about anything."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"There are limitations when processing more than one GD file."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Palantir Gotham is ranked 33rd in Data Integration with 1 review. Azure Data Factory is rated 8.0, while Palantir Gotham is rated 8.0. 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 Palantir Gotham writes "A seamless all-in-one solution ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Palantir Gotham is most compared with Palantir Foundry and Stone Bond Enterprise Enabler.
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