Compare Azure Data Factory vs. SSIS

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while SSIS is ranked 1st in Data Integration Tools with 20 reviews. Azure Data Factory is rated 8.2, while SSIS is rated 7.6. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of SSIS writes "SSIS 2016 - The good, the bad, and the ugly". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas SSIS is most compared with Informatica PowerCenter, IBM InfoSphere DataStage and Talend Open Studio. See our Azure Data Factory vs. SSIS report.
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Azure Data Factory Logo
8,394 views|6,600 comparisons
SSIS Logo
Read 20 SSIS reviews.
33,961 views|26,944 comparisons
Most Helpful Review
Find out what your peers are saying about Azure Data Factory vs. SSIS and other solutions. Updated: March 2020.
406,607 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
It is easy to deploy workflows and schedule jobs.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.It is a complete ETL Solution.Powerful but easy-to-use and intuitive.The most valuable features are data transformations.Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.From what we have seen so far, the solution seems very stable.The user interface is very good. It makes me feel very comfortable when I am using the tool.

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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.The most valuable features of this solution are the fast insert and fuzzy logic matching.This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language.The initial setup of this solution is very straightforward.The setup is straightforward. It's very easy to install.With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server.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.It has a drag and drop feature that makes it easy to use. It has a good user experience because it takes into account your most-used tools and they're lined up nicely so you can just drag and drop without looking too far. It also integrates nicely with Microsoft.

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Cons
The setup and configuration process could be simplified.The user interface could use improvement. It's not a major issue but it's something that can be improved.The Microsoft documentation is too complicated.The product could provide more ways to import and export data.The speed and performance need to be improved.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 needs to integrate more with other providers and should have a closer integration with Oracle BI.The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.

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You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price.Generic processes should be used instead of custom code for each table.Tuning using this solution requires extensive expertise to improve performance.The performance of this solution is not as good as other tools in the market.Video training would be a helpful addition.The solution should work on the GPU, graphical processing unit. There should also be piping integration available.It needs more integration tools, so you can connect to different sources.There were some issues when we tried to connect it to data storage. It was a connection issue.

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Pricing and Cost Advice
This is a cost-effective solution.Our licensing fees are approximately 15,000 ($150 USD) per month.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.

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t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base.This solution is included with the MSSQL server package.My advice is to look at what your configuration will be because most companies have their own deals with Microsoft.This solution has provided an inexpensive tool, and it is easy to find experienced developers.

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Ranking
6th
Views
8,394
Comparisons
6,600
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
1st
Views
33,961
Comparisons
26,944
Reviews
19
Average Words per Review
486
Avg. Rating
7.6
Top Comparisons
Compared 27% of the time.
Compared 9% of the time.
Compared 9% of the time.
Also Known As
SQL Server Integration Services
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Microsoft
Microsoft
Overview

Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

SSIS is a package is an organized collection of connections, control flow elements, data flow elements, event handlers, variables, parameters, and configurations, that you assemble using either the graphical design tools that SQL Server Integration Services provides, or build programmatically. You then save the completed package to SQL Server, the SSIS Package Store, or the file system, or you can deploy the ssISnoversion project to the SSIS server. The package is the unit of work that is retrieved, executed, and saved.
Offer
Learn more about Azure Data Factory
Learn more about SSIS
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid PKP Energetyka, UniCredit Bank, Mostar, waldwasser, Ashok leyland, Florida Atlantic University, Stadt Frankfurt am Main
Top Industries
VISITORS READING REVIEWS
Software R&D Company53%
Comms Service Provider9%
Retailer4%
Insurance Company4%
REVIEWERS
Financial Services Firm25%
Manufacturing Company10%
Retailer10%
Healthcare Company10%
VISITORS READING REVIEWS
Software R&D Company28%
Comms Service Provider13%
Insurance Company8%
Government8%
Company Size
REVIEWERS
Small Business19%
Midsize Enterprise25%
Large Enterprise56%
REVIEWERS
Small Business28%
Midsize Enterprise25%
Large Enterprise48%
VISITORS READING REVIEWS
Small Business2%
Midsize Enterprise7%
Large Enterprise91%
Find out what your peers are saying about Azure Data Factory vs. SSIS and other solutions. Updated: March 2020.
406,607 professionals have used our research since 2012.
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