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 makes it easy to collect data from different sources."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The flexibility that Azure Data Factory offers is great."
"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 of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"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."
"I like the basic features like the data-based pipelines."
"They are very good at building out new aspects according to customer requirements."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"The API architecture makes it easy for orchestration."
"The product is easy to use and has many connectivity options."
"It is a scalable solution."
"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 initial setup is very straightforward."
"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."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"Real-time replication is required, and this is not a simple task."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The pricing scheme is very complex and difficult to understand."
"Some of the optimization techniques are not scalable."
"I have not found any real shortcomings within the product."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The support is the most important improvement they could make."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"The solution isn't ideal for complex processing or logic. We use another solution for that."
"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."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."
"They should expand in terms of features for SaaS-based market requirements in different sectors."
"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."
Azure Data Factory is ranked 1st in Data Integration with 79 reviews while SnapLogic doesn't meet the minimum requirements to be ranked in Data Integration with 19 reviews. Azure Data Factory is rated 8.0, while SnapLogic is rated 8.2. 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, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and Microsoft Azure Synapse Analytics, whereas SnapLogic is most compared with AWS Glue, IBM InfoSphere DataStage, Informatica Cloud Data Integration, SSIS and Matillion ETL. See our Azure Data Factory vs. SnapLogic report.
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