Compare Azure Data Factory vs. IBM InfoSphere Information Server

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while IBM InfoSphere Information Server is ranked 22nd in Data Integration Tools with 1 review. Azure Data Factory is rated 8.2, while IBM InfoSphere Information Server is rated 9.0. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of IBM InfoSphere Information Server writes "Improves efficiency through significant time reductions in ETL tasks". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas IBM InfoSphere Information Server is most compared with IBM InfoSphere DataStage, Oracle GoldenGate and Qlik Replicate.
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Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
405,659 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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This solution is extremely flexible and scalable.

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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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This solution would benefit from the engine being made more lightweight.

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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
6th
Views
7,322
Comparisons
5,739
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
22nd
Views
2,424
Comparisons
2,011
Reviews
1
Average Words per Review
127
Avg. Rating
9.0
Top Comparisons
Also Known As
InfoSphere Information Server, IBM Information Server
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Microsoft
IBM
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.

IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).
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Learn more about Azure Data Factory
Learn more about IBM InfoSphere Information Server
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
Top Industries
VISITORS READING REVIEWS
Software R&D Company53%
Comms Service Provider9%
Retailer4%
Insurance Company4%
VISITORS READING REVIEWS
Software R&D Company49%
Comms Service Provider20%
Government9%
Retailer7%
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
405,659 professionals have used our research since 2012.
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