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."For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"The trigger scheduling options are decently robust."
"It is easy to integrate."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"We haven't had any issues connecting it to other products."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The most valuable feature is the copy activity."
"The solution is easy to implement and easy to use. It's basically just drag and drop."
"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 connection with SOAP is the best feature."
"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."
"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."
"The solution could improve its API management."
"What I found most valuable in SnapLogic is the ETL feature, particularly the Transform Snap Pack, for example, any kind of reading or writing on Transform Snaps. Other than that, all the third-party connectivity tools such as the SAP Snap Pack, Salesforce Snap Pack, Workday Snap Pack, even the ServiceNow Snap Pack, I find all those are pretty useful in SnapLogic."
"It would be better if it had machine learning capabilities."
"Data Factory's monitorability could be better."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The support and the documentation can be improved."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"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."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"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 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."
"We'd like zero downtime in the future."
"There is room for improvement with APM management and how task execution looks."
"The support is the most important improvement they could make."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SnapLogic is ranked 14th in Data Integration with 21 reviews. Azure Data Factory is rated 8.0, while SnapLogic is rated 8.0. 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 SnapLogic writes "Easy to set up, easy to use, and is low-code". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SnapLogic is most compared with AWS Glue, IBM InfoSphere DataStage, Informatica Cloud Data Integration, SSIS and Alteryx Designer. See our Azure Data Factory vs. SnapLogic report.
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