We performed a comparison between Azure Data Factory 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."It is a complete ETL Solution."
"The solution is okay."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"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 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."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"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."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"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."
"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."
"The product is easy to use and has many connectivity options."
"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"The connection with SOAP is the best feature."
"The API architecture makes it easy for orchestration."
"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."
"I have not found any real shortcomings within the product."
"The pricing scheme is very complex and difficult to understand."
"The one element of the solution that we have used and could be improved is the user interface."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"It would be better if it had machine learning capabilities."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"Data Factory's cost is too high."
"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."
"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."
"The solution isn't ideal for complex processing or logic. We use another solution for that."
"The dashboards regarding scheduled tasks need further improvement."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
Azure Data Factory is ranked 1st in Data Integration with 40 reviews while SnapLogic doesn't meet the minimum requirements to be ranked in Data Integration with 13 reviews. Azure Data Factory is rated 8.0, while SnapLogic is rated 8.2. The top reviewer of Azure Data Factory writes "The good, the bad and the lots of ugly". On the other hand, the top reviewer of SnapLogic writes "Automates manual activities and has helpful documentation that allows users to self-study". Azure Data Factory is most compared with Informatica PowerCenter, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and Microsoft Azure Synapse Analytics, whereas SnapLogic is most compared with IBM InfoSphere DataStage, AWS Glue, Informatica Cloud Data Integration, SSIS and Matillion ETL. See our Azure Data Factory vs. SnapLogic report.
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