Azure Data Factory vs Infogix Data360 Analyze comparison

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26,170 views|20,469 comparisons
91% willing to recommend
Infogix Logo
466 views|317 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Azure Data Factory and Infogix Data360 Analyze based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The function of the solution is great.""We have found the bulk load feature very valuable.""The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring.""An excellent tool for pipeline orchestration.""The flexibility that Azure Data Factory offers is great.""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.""On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good.""The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

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

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Cons
"Lacks a decent UI that would give us a view of the kinds of requests that come in.""The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it.""My only problem is the seamless connectivity with various other databases, for example, SAP.""Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features.""For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better.""There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button.""I would like to be informed about the changes ahead of time, so we are aware of what's coming.""The thing we missed most was data update, but this is now available as of two weeks ago."

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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."
  • "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."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "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:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
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    Ranking
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    Comparisons
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    52nd
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    Views
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    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    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.

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    citi, swedbank, RSA, MasterCard, travelers, telstra
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Healthcare Company12%
    Insurance Company12%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business6%
    Midsize Enterprise9%
    Large Enterprise85%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Infogix Data360 Analyze is ranked 52nd in Data Integration. Azure Data Factory is rated 8.0, while Infogix Data360 Analyze is rated 7.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". 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, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Infogix Data360 Analyze is most compared with Alteryx Designer and Informatica PowerCenter.

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    We monitor all Data Integration 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.