Azure Data Factory vs SSIS comparison

Cancel
You must select at least 2 products to compare!
Microsoft Logo
24,893 views|19,539 comparisons
91% willing to recommend
Microsoft Logo
Read 69 SSIS reviews
18,509 views|15,010 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: May 2024).
772,649 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 includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""I am one hundred percent happy with the stability.""The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted.""What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems.""It's extremely consistent.""We have been using drivers to connect to various data sets and consume data.""It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build.""I like the basic features like the data-based pipelines."

More Azure Data Factory Pros →

"The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product.""The setup was easy. All Microsoft products are easy to set up.""The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle.""The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products.""The simplicity of the solution is great. The solution also offers excellent integration.""The most valuable features of SSIS are that it works with the query language and it can import data from different sources.""The setup is straightforward. It's very easy to install.""The interface is very user-friendly."

More SSIS Pros →

Cons
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters.""The setup and configuration process could be simplified.""Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory.""When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF.""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 pricing scheme is very complex and difficult to understand.""In the next release, it's important that some sort of scheduler for running tasks is added.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

More Azure Data Factory Cons →

"It's a legacy tool, that is nearing the end of its useful life.""We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package.""We've had issues in terms of the amount of data that is transferred when we are scheduling.""There is connectivity with other databases, however, this is the most significant issue that has to be addressed.""I would like to see more standard components out of the box, such as SFTP, and Data Compression components.""We'd like more integration capabilities.""There are a lot of things that Microsoft could improve in relation to SSIS. One major problem we faced was when attempting to move some Excel files to our SQL Server. The Excel provider has a limitation that prevents importing more than 255 columns from a particular Excel file to the database. This restriction posed a significant issue for us.""Future releases should improve the data lineage, as it currently is not good."

More SSIS Cons →

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 →

    report
    Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
    772,649 professionals have used our research since 2012.
    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 103 in Data Integration
    Views
    24,893
    Comparisons
    19,539
    Reviews
    45
    Average Words per Review
    507
    Rating
    8.0
    2nd
    out of 103 in Data Integration
    Views
    18,509
    Comparisons
    15,010
    Reviews
    33
    Average Words per Review
    485
    Rating
    7.8
    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 Enterprise69%
    REVIEWERS
    Small Business27%
    Midsize Enterprise17%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    Azure Data Factory vs. SSIS
    May 2024
    Find out what your peers are saying about Azure Data Factory vs. SSIS and other solutions. Updated: May 2024.
    772,649 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 Qlik Replicate, 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.