We performed a comparison between SAP Data Services and SnapLogic 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."The HANA database, which is very fast, is a valuable feature."
"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."
"It is a powerful product with a broad range of features."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The reporting on the data, even from third-party software, is very good."
"I have worked with Data Services for a long time, and currently, I find the dashboarding and reporting part to be the most valuable function."
"The most valuable feature is the ETL functionality."
"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."
"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."
"It is a scalable solution."
"The solution could improve its API management."
"The connection with SOAP is the best feature."
"The API architecture makes it easy for orchestration."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"You can use other languages, such as Python, and easily connect to other systems."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"They could make it easier to work with web services."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"The pricing of the solution should be improved."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The execution engines and processing engines have shortcomings and need improvements."
"The initial setup is complex."
"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."
"The solution isn't ideal for complex processing or logic. We use another solution for that."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping."
"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."
"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."
"There is room for improvement with APM management and how task execution looks."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
SAP Data Services is ranked 10th in Data Integration with 45 reviews while SnapLogic is ranked 14th in Data Integration with 21 reviews. SAP Data Services is rated 8.0, while SnapLogic is rated 8.0. The top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". On the other hand, the top reviewer of SnapLogic writes "Easy to set up, easy to use, and is low-code". SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry, whereas SnapLogic is most compared with AWS Glue, IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration and SSIS. See our SAP Data Services vs. SnapLogic report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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