We performed a comparison between Azure Data Factory and Snowflake Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse 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."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"It's extremely consistent."
"Data Factory's most valuable feature is Copy Activity."
"It is easy to deploy workflows and schedule jobs."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"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."
"Time Travel and Snowpipe are good features."
"The most valuable feature of Snowflake Analytics is its performance."
"It helps with business intelligence by providing analytics that can be reported."
"Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake."
"Scalability-wise, I rate the solution a ten out of ten."
"The performance has been good."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."
"There are limitations when processing more than one GD file."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Some known bugs and issues with Azure Data Factory could be rectified."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"The product could provide more ways to import and export data."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"The setup and configuration process could be simplified."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"The technical support is not very good."
"The UI could be more user-friendly."
"One notable absence in Snowflake's offerings is an on-premises solution."
"The solution's high price can be an area of concern that needs improvement."
"Integration into different Python and Jupyter notebooks needs to be improved."
"Machine learning should be improved."
"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. Azure Data Factory is rated 8.0, while Snowflake Analytics is rated 8.4. 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 Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Snowflake Analytics is most compared with Adobe Analytics, Mixpanel, Amplitude, Glassbox and Yellowbrick Cloud Data Warehouse. See our Azure Data Factory vs. Snowflake Analytics report.
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