Azure Data Factory vs SSIS comparison

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26,170 views|20,469 comparisons
91% willing to recommend
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Read 69 SSIS reviews
19,568 views|15,878 comparisons
79% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and SSIS 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. SSIS Report (Updated: March 2024).
768,886 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 most valuable aspect is the copy capability.""We haven't had any issues connecting it to other products.""In terms of my personal experience, it works fine.""The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring.""UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages.""It is easy to integrate.""Its integrability with the rest of the activities on Azure is most valuable.""The trigger scheduling options are decently robust."

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"It is easy to set up. The deployment is also very quick.""SSIS' most valuable feature is its reporting services.""The most valuable feature of SSIS is that it can handle real complex transformations.""I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import.""The most valuable features for our company are the flexibility and the quick turn around time in producing simple ETL solutions.""The workflow features have been very valuable. You can have automated workflows and all the steps are controlled. The workflow functionality of integration services is excellent.""The technical support is very good.""Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."

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Cons
"In the next release, it's important that some sort of scheduler for running tasks is added.""The setup and configuration process could be simplified.""There is no built-in pipeline exit activity when encountering an error.""This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations.""The pricing scheme is very complex and difficult to understand.""The number of standard adaptors could be extended further.""It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory.""Azure Data Factory's pricing in terms of utilization could be improved."

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"It hangs a lot of the time.""I would like to see better technical documentation because many times information is missing.""It needs more integration tools, so you can connect to different sources.""Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them.""The debugging could be improved because when it came to solving the errors that I've experienced in the past, I've had to look at the documentation for more information.""It would be nice if you could run SSIS on other environments besides Windows.""Tuning using this solution requires extensive expertise to improve performance.""I come from a coding background and this tool is graphically based. Sometimes I think it's cumbersome to do mapping graphically. If there was a way to provide a simple script, it would be helpful and make it easier to use."

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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 →

  • "This solution has provided an inexpensive tool, and it is easy to find experienced developers."
  • "My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
  • "This solution is included with the MSSQL server package."
  • "It would be beneficial if the solution had a less costly cloud offering."
  • "Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
  • "We have an enterprise license for this solution."
  • "It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
  • "All of my clients have this product included as part of their Microsoft license."
  • More SSIS Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations There are many third-party vendors offering ETL solutions, but two of the most popular are PowerCenter Informatica and Microsoft SSIS (SQL Server Integration Services). Each technology has its advantages but there are also similarities on how they carry out the extract-transform-load processes and only differ in terminologies. If you’re in the process of choosing ETL tools and PowerCenter Informatica and Microsoft SSIS made it to your shortlist, here is a short comparative discussion detailing the differences between the two, as well as their benefits. Package Configuration Most enterprise data integration projects would require the capacity to develop a solution in one platform and test and deploy it in a separate environment without having to manually change the established workflow. In order to achieve this seamless movement between two environments, your ETL technology should allow the dynamic update of the project’s properties using the content or a parameter file or configuration. Both Informatica and SSIS support this functionality using different methodologies. In Informatica, every session can have more than one source and one or more destination connections. There are… Read more →
    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:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free… more »
    Top Answer:The product's deployment phase is easy.
    Top Answer:If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive.
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    2nd
    out of 100 in Data Integration
    Views
    19,568
    Comparisons
    15,878
    Reviews
    35
    Average Words per Review
    471
    Rating
    7.7
    Comparisons
    Also Known As
    SQL Server Integration Services
    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.

    SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

    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
    1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Financial Services Firm8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Financial Services Firm23%
    Healthcare Company8%
    Computer Software Company8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company12%
    Government7%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Azure Data Factory vs. SSIS
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. SSIS and other solutions. Updated: March 2024.
    768,886 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Azure Data Factory is rated 8.0, while SSIS is rated 7.6. 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 SSIS writes "Maintaining the solution and contacting its support team is easy". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Matillion ETL, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and Alteryx Designer. See our Azure Data Factory vs. SSIS report.

    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.