Azure Data Factory vs Dataloader.io comparison

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25,660 views|20,160 comparisons
91% willing to recommend
MuleSoft Logo
223 views|202 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Azure Data Factory and Dataloader.io 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).
769,599 professionals have used our research since 2012.
Featured Review
Aditi Bhardwaj
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data.""It is beneficial that the solution is written with Spark as the back end.""We have been using drivers to connect to various data sets and consume data.""Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process.""Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft.""The most valuable feature of this solution would be ease of use.""I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management.""The flexibility that Azure Data Factory offers is great."

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"he product’s most valuable feature is ease of access."

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Cons
"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.""Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""The user interface could use improvement. It's not a major issue but it's something that can be improved.""The support and the documentation can be improved.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others.""There are limitations when processing more than one GD file."

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"We need help with large data migrations. It only works well for a few thousand records or less than a million records."

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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."
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  • "The product is inexpensive and economical."
  • More Dataloader.io 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 »
    Top Answer:he product’s most valuable feature is ease of access.
    Top Answer:The product is inexpensive and economical.
    Top Answer:We need help with large data migrations. It only works well for a few thousand records or less than a million records. Above that, we need to look for alternative solutions. They could provide… more »
    Ranking
    1st
    out of 101 in Data Integration
    Views
    25,660
    Comparisons
    20,160
    Reviews
    47
    Average Words per Review
    509
    Rating
    8.0
    39th
    out of 101 in Data Integration
    Views
    223
    Comparisons
    202
    Reviews
    1
    Average Words per Review
    460
    Rating
    8.0
    Comparisons
    Learn More
    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.

    Dataloader.io is the data loader for Salesforce. Use the most popular data loader for Salesforce to quickly and securely import, export and delete unlimited amounts of data for your enterprise. Get started quickly with our simple, 100% cloud solution.

    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
    UCSF, Box, CareFusion, Unilever, Hershey's
    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%
    Computer Software Company14%
    Insurance Company8%
    Real Estate/Law Firm6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise7%
    Large Enterprise72%
    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.
    769,599 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Dataloader.io is ranked 39th in Data Integration with 1 review. Azure Data Factory is rated 8.0, while Dataloader.io is rated 8.0. 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 Dataloader.io writes "Provides an ease of access and an automated mapping feature". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Dataloader.io is most compared with DBamp, Mule Anypoint Platform and BMC Data Management for IMS and DB2 on zOS.

    See our list of best Data Integration vendors.

    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.