Compare Azure Data Factory vs. Infogix Data360 Analyze

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Most Helpful Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: March 2021.
475,291 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
"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."

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"The drag-and-drop functionality makes it easy for business users."

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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."

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"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."

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Pricing and Cost Advice
"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."

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"The open-source version is free to use, although it has a limitation of two-million records."

More Infogix Data360 Analyze Pricing and Cost Advice »

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Questions from the Community
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.
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Ranking
3rd
Views
21,966
Comparisons
17,694
Reviews
20
Average Words per Review
490
Rating
7.9
31st
Views
231
Comparisons
138
Reviews
1
Average Words per Review
1,143
Rating
7.0
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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.

The most successful businesses have common denominators: maximizing organizational efficiencies, mitigating risk, growing revenue and innovating — fast. Data360 Analyze is the fastest way to aggregate and organize large amounts of data to uncover valuable insights across business units. Easily access, acquire, prepare and analyze quality data with its intuitive browser-based architecture.

Offer
Learn more about Azure Data Factory
Learn more about Infogix Data360 Analyze
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
citi, swedbank, RSA, MasterCard, travelers, telstra
Top Industries
REVIEWERS
Computer Software Company30%
Insurance Company20%
Healthcare Company10%
Logistics Company10%
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider13%
Energy/Utilities Company6%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider24%
Financial Services Firm6%
Government6%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise20%
Large Enterprise53%
No Data Available
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: March 2021.
475,291 professionals have used our research since 2012.

Azure Data Factory is ranked 3rd in Data Integration Tools with 19 reviews while Infogix Data360 Analyze is ranked 31st in Data Integration Tools with 1 review. Azure Data Factory is rated 7.8, while Infogix Data360 Analyze is rated 7.0. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". On the other hand, the top reviewer of Infogix Data360 Analyze writes "Easy drag-and-drop interface and supports custom Python functions, but the performance needs to be better". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and IBM InfoSphere DataStage, whereas Infogix Data360 Analyze is most compared with Collibra Catalog, Informatica PowerCenter and SSIS.

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We monitor all Data Integration Tools 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.