Compare Azure Data Factory vs. Informatica PowerCenter
Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while Informatica PowerCenter is ranked 2nd in Data Integration Tools with 12 reviews. Azure Data Factory is rated 8.2, while Informatica PowerCenter is rated 7.8. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of Informatica PowerCenter writes "Assists us with integration as we migrate from on-premise to cloud, but it needs a performance analyzer". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration and Oracle Data Integrator (ODI). See our Azure Data Factory vs. Informatica PowerCenter report.
Most Helpful Review | |||||
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 Find out what your peers are saying about Azure Data Factory vs. Informatica PowerCenter and other solutions. Updated: March 2020. 407,096 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:
Pros | |
It is easy to deploy workflows and schedule jobs. 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. It is a complete ETL Solution. Powerful but easy-to-use and intuitive. The most valuable features are data transformations. 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. From what we have seen so far, the solution seems very stable. The user interface is very good. It makes me feel very comfortable when I am using the tool. | The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter. The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed. 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. 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 features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand. In the end, you have structured, proper data for use in an integrated BI solution. The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage. 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. |
Cons | |
The setup and configuration process could be simplified. The user interface could use improvement. It's not a major issue but it's something that can be improved. The Microsoft documentation is too complicated. The product could provide more ways to import and export data. The speed and performance need to be improved. 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 solution needs to integrate more with other providers and should have a closer integration with Oracle BI. 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 multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer. I found it is kind of weird that not all of the mapping changes are treated as true changes. Include more instruments for LOGs analysis, interpretation, and job corrections. The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica. I would like to see an improvement in the digital adoption. Integration with Artificial Intelligence would benefit this solution. 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. 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. |
Pricing and Cost Advice | |
This is a cost-effective solution. Our licensing fees are approximately 15,000 ($150 USD) per month. 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. | 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. Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it. |
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Answers from the Community | |||
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Ranking  | |||
Views 8,394 Comparisons 6,600 Reviews 10 Average Words per Review 456 Avg. Rating 8.1 | Views 40,244 Comparisons 32,072 Reviews 9 Average Words per Review 384 Avg. Rating 7.8 | ||
Top Comparisons | |||
 Compared 13% of the time.  Compared 12% of the time. Compared 10% of the time. |  Compared 22% of the time. Compared 14% of the time.  Compared 9% of the time. | ||
Also Known As | |||
| PowerCenter | |||
Learn | |||
| Microsoft | Informatica | ||
Overview | |||
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. | ||
Offer | |||
Learn more about Azure Data Factory | Learn more about Informatica PowerCenter | ||
Sample Customers | |||
| Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid | University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank | ||
Top Industries | |||
Software R&D Company54% Comms Service Provider9% Insurance Company4% Construction Company4% | Financial Services Firm13% Energy/Utilities Company13% Comms Service Provider13% Healthcare Company13% Software R&D Company42% Comms Service Provider13% Financial Services Firm7% Insurance Company7% | ||
Company Size | |||
Small Business19% Midsize Enterprise25% Large Enterprise56% | Small Business19% Midsize Enterprise13% Large Enterprise69% Small Business16% Midsize Enterprise15% Large Enterprise69% | ||
Find out what your peers are saying about Azure Data Factory vs. Informatica PowerCenter and other solutions. Updated: March 2020.
407,096 professionals have used our research since 2012.
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