We performed a comparison between Matillion ETL and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"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 can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"The basic functionality is quite good as is the basic logic and data information."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"The product's most valuable features are data validation and rules."
"The logic is also simple. It makes it easy to build your extraction."
"The reporting on the data, even from third-party software, is very good."
"The cost of the solution is high and could be reduced."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"Performance can be improved for efficiency, and it can be made faster."
"In the next release, we would like to have connections to more databases."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"The product must enhance its near-real-time data capture feature."
"Integration with other products could be improved."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"The migration of the solution between different environments is quite complex."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Matillion ETL is rated 8.6, while SAP Data Services is rated 8.0. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and Qlik Replicate, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Matillion ETL vs. SAP Data Services report.
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