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."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."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"Its integrability with the rest of the activities on Azure is most valuable."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"It is a complete ETL Solution."
"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."
"This solution is seamless. From one platform, we can do just about anything."
"We have experienced some issues with the integration. This is an area that needs improvement."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"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."
"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."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"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.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
