We performed a comparison between Azure Data Factory and Matillion ETL 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."It makes it easy to collect data from different sources."
"I can do everything I want with SSIS and Azure Data Factory."
"I like the basic features like the data-based pipelines."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"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."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"It's extremely consistent."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It's been able to do everything we require."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The loading of data is the most valuable feature of Matillion ETL."
"Matillion ETL is one hundred percent stable."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"The deployment should be easier."
"Data Factory's performance during heavy data processing isn't great."
"The setup and configuration process could be simplified."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"The tool's lineage is very weak."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"Performance can be improved for efficiency, and it can be made faster."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"It needs integration with more data sources."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. Azure Data Factory is rated 8.0, while Matillion ETL is rated 8.6. 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 Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Matillion ETL is most compared with Snowflake, AWS Glue, Informatica PowerCenter, SSIS and Informatica Cloud Data Integration. See our Azure Data Factory vs. Matillion ETL report.
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