Compare Azure Data Factory vs. Informatica PowerCenter
 | Anonymous User BI Practice Lead at a tech services company |
| Anonymous User Data Architecture/Management at a consultancy |
Find out what your peers are saying about Azure Data Factory vs. Informatica PowerCenter and other solutions. Updated: March 2021.
473,792 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution has a good interface and the integration with GitHub is very useful."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The most valuable features are data transformations."
"Powerful but easy-to-use and intuitive."
"It is a complete ETL Solution."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The most valuable features are the dynamic reading of the file metadata profile, and the ability to define business rules that are used to verify and validate the uploaded files."
"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better."
"The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage."
"In the end, you have structured, proper data for use in an integrated BI solution."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical."
"The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution."
"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."
Cons
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The speed and performance need to be improved."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good."
"Integration with Artificial Intelligence would benefit this solution."
"I would like to see an improvement in the digital adoption."
"The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"I found it is kind of weird that not all of the mapping changes are treated as true changes."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"This is a cost-effective solution."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"I would not say that this product is overly expensive."
"Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis."
"Its maintenance is expensive."
"It's much more expensive, almost three times more expensive than most other solutions."
"We are satisfied with the pricing."
"I consider this to be an expensive product."
"It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."
Use our free recommendation engine to learn which Data Integration Tools solutions are best for your needs.
473,792 professionals have used our research since 2012.
Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: The initial setup is very quick and easy.
Top Answer: Cost-wise, it is quite affordable. It's not a factor in the decision-making process when it comes to whether or not we should use it. That said, the pricing is very reasonable.
Top Answer: The number of docs has been reduced drastically, which is very good.
Top Answer: It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this… more »
Top Answer: If you were migrating or connecting with multiple sources, initially there were issues that caused network latency. In the latest version, there are fewer bugs. The real-time database connectivity… more »
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8.3
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PowerCenter
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.
Learn more about Azure Data Factory
Learn more about Informatica PowerCenter
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Insurance Company22%
Computer Software Company22%
Healthcare Company11%
Logistics Company11%
Computer Software Company36%
Comms Service Provider13%
Energy/Utilities Company6%
Insurance Company5%
Computer Software Company19%
Financial Services Firm15%
Retailer11%
Healthcare Company7%
Computer Software Company36%
Comms Service Provider13%
Financial Services Firm7%
Insurance Company6%
Small Business28%
Midsize Enterprise21%
Large Enterprise52%
Small Business15%
Midsize Enterprise8%
Large Enterprise77%
Small Business20%
Midsize Enterprise19%
Large Enterprise61%
Find out what your peers are saying about Azure Data Factory vs. Informatica PowerCenter and other solutions. Updated: March 2021.
473,792 professionals have used our research since 2012.
Azure Data Factory is ranked 3rd in Data Integration Tools with 19 reviews while Informatica PowerCenter is ranked 1st in Data Integration Tools with 21 reviews. Azure Data Factory is rated 7.8, while Informatica PowerCenter is rated 8.2. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". On the other hand, the top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". Azure Data Factory is most compared with Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services, IBM InfoSphere DataStage and Denodo, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Oracle Data Integrator (ODI), Informatica PowerExchange and AWS Glue. See our Azure Data Factory vs. Informatica PowerCenter report.
See our list of best Data Integration Tools vendors.
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