Azure Data Factory vs Boomi iPaaS comparison

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25,660 views|20,160 comparisons
91% willing to recommend
Boomi Logo
2,176 views|1,510 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and Boomi iPaaS based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Azure Data Factory vs. Boomi iPaaS Report (Updated: May 2023).
771,212 professionals have used our research since 2012.
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 solution can scale very easily.""The trigger scheduling options are decently robust.""This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily.""It is beneficial that the solution is written with Spark as the back end.""It is easy to deploy workflows and schedule jobs.""One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams.""Data Factory's most valuable feature is Copy Activity.""Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

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"The connection configuration part and the drag-and-drop integration module are the most valuable features for me.""The solution has a lot of connectors, which is quite helpful.""The product's integration features are quite rich and low code. It is easy to use.""AtomSphere Integration will suit those looking for small automation and simple integrations.""The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for identifying issues with data and providing insights to the business.""The platform is user-friendly.""The product's initial setup phase was easy.""Very effective with its drag-and-drop feature."

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Cons
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas.""The one element of the solution that we have used and could be improved is the user interface.""It does not appear to be as rich as other ETL tools. It has very limited capabilities.""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 can be improved by decreasing the warmup time which currently can take up to five minutes.""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.""I have not found any real shortcomings within the product.""DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

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"The product's UI could be more convenient.""We would like to see more involvement between Dell Boomi and the end-users to help improve the customer experience.""The product could be a little bit more user-friendly.""There is no validation in the mapping profile custom scripting, such as IntelliSense or advanced error checking.""There should be more scripting possibilities.""There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow.""Have to create some of our own pre-built connectors.""In day-to-day operations, tracking transactions is a major challenge. It takes hours to track a single transaction. It is not a straightforward process."

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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 Platinum package is good for licensing, but I’m not sure about the cost and improvements."
  • "They do not charge by the number of people using the software (client-server model), but rather they charge based on the number of connections used. This makes it very cost effective."
  • "The licensing model of Dell Boomi is based on a ‘pay-per-use’ model."
  • "This solution is very economical (based on the connections)."
  • "The pricing is a bit complex. While the entry fee may be lower than other solutions, it could be expensive depending on your usage."
  • "When it comes to pricing, it's not so much about being less expensive as it is about how they don't tie to the hardware on the underlined VMware that you run on, as other vendors do"
  • "The cost of the solution is in the neighborhood of $20,000 annually. There are no costs above the standard licensing fee."
  • "Approximately 20k annually."
  • More Boomi iPaaS 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:I have worked as an Integration Architect/Developer for many years and have used Mulesoft, Boomi, Informatica, Workato, Celigo, SSIS and many other integration tools.  The tool you would pick depends… more »
    Top Answer:The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for… more »
    Top Answer:Boomi AtomSphere Integration is a relatively cheap and cost-effective product compared to other products like SAP or Oracle. I don't know the exact price of the product.
    Ranking
    1st
    out of 101 in Data Integration
    Views
    25,660
    Comparisons
    20,160
    Reviews
    47
    Average Words per Review
    509
    Rating
    8.0
    Views
    2,176
    Comparisons
    1,510
    Reviews
    11
    Average Words per Review
    397
    Rating
    7.5
    Comparisons
    Also Known As
    Boomi
    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.

    The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.

    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
    DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
    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%
    REVIEWERS
    Computer Software Company15%
    Outsourcing Company8%
    Logistics Company8%
    Retailer8%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm8%
    Manufacturing Company8%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business33%
    Midsize Enterprise13%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    Buyer's Guide
    Azure Data Factory vs. Boomi iPaaS
    May 2023
    Find out what your peers are saying about Azure Data Factory vs. Boomi iPaaS and other solutions. Updated: May 2023.
    771,212 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews. Azure Data Factory is rated 8.0, while Boomi iPaaS is rated 7.8. 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 Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and Mule Anypoint Platform. See our Azure Data Factory vs. Boomi iPaaS report.

    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.