Compare Azure Data Factory vs. Informatica Cloud Data Integration

Azure Data Factory is ranked 7th in Data Integration Tools with 10 reviews while Informatica Cloud Data Integration is ranked 4th in Cloud Data Integration with 6 reviews. Azure Data Factory is rated 8.2, while Informatica Cloud Data Integration is rated 7.4. 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 Cloud Data Integration writes "It has become an easy way to exchange information through any cloud application". Azure Data Factory is most compared with Talend Open Studio, Informatica Enterprise Data Catalog and Informatica PowerCenter, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Matillion ETL and Azure Data Factory.
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Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration Tools. Updated: February 2020.
399,230 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.

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The user interface which is very easy to use if we have any problems to solve.The features I find most valuable is the synchronization, verification, functionalities and all the data integration features.The program is stable and scalable.The most valuable feature is the building of mockups and tasks.It has become an easy way to exchange information through any cloud application.

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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.

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A general improvement in icons and the virtual interface would be good.I would also like to have profiling functionalities and quality transformations in the cloud.One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first.I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter.The biggest challenge I see is the IDE's for the cloud and automization are different.

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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.

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Ranking
7th
Views
6,172
Comparisons
4,825
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
4th
Views
12,094
Comparisons
9,292
Reviews
4
Average Words per Review
333
Avg. Rating
7.8
Top Comparisons
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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.

Informatica Cloud Data Integration is a unified and modern user experience across all iPaaS patterns, supported by a meta-data driven, modular, artificial intelligence-based microservices architecture tailored for IT, developers, and business users. It help delivers accessible, trusted, and secure data to facilitate more valuable business decisions and identify competitive advantages. Informatica Cloud Data Integration can help to distribute data warehouse and analytics projects. Features include the following: Deliver integrated and relevant data, Scale with data synchronization and replication, Integrate asset management, Support high-volume workloads, Design cloud mappings and Execute visual data integration flows.
Offer
Learn more about Azure Data Factory
Learn more about Informatica Cloud Data Integration
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Chicago Cubs, Telegraph Media Group
Top Industries
VISITORS READING REVIEWS
Software R&D Company50%
Comms Service Provider9%
Insurance Company5%
Manufacturing Company5%
REVIEWERS
Software R&D Company38%
Pharma/Biotech Company25%
Individual & Family Service13%
Manufacturing Company13%
VISITORS READING REVIEWS
Software R&D Company46%
Financial Services Firm10%
Comms Service Provider9%
Insurance Company7%
Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration Tools. Updated: February 2020.
399,230 professionals have used our research since 2012.
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