We performed a comparison between Azure Data Factory and Informatica Enterprise Data Catalog based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"The most valuable feature of this solution would be ease of use."
"The solution has a good interface and the integration with GitHub is very useful."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The trigger scheduling options are decently robust."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"We use the solution to move data from on-premises to the cloud."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The product seems stable enough."
"The solution scales well."
"The metadata management of Informatica is great."
"I rate the technical support a ten out of ten."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"The way that the solution scans is very useful."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"There's space for improvement in the development process of the data pipelines."
"Real-time replication is required, and this is not a simple task."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"The one element of the solution that we have used and could be improved is the user interface."
"There are limitations when processing more than one GD file."
"Azure Data Factory's pricing in terms of utilization could be improved."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"It is not easy to set up and configure the tool."
"The scalability is tough."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
"Currently, there are limitations in processing and the interface."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
More Informatica Enterprise Data Catalog Pricing and Cost Advice →
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. Azure Data Factory is rated 8.0, while Informatica Enterprise Data Catalog is rated 7.6. 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 Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and ASG Enterprise Data Intelligence.
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.