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."Allows more data between on-premises and cloud solutions"
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"The solution can scale very easily."
"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."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"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."
"It is quite a convenient tool."
"The performance has been good."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"One of the valuable features is the solution’s time travel capability. The solution is highly stable. The solution is highly scalable. The initial setup is straightforward, and the deployment process is quick and efficient. I recommend the solution. Overall, I rate it a perfect ten."
"I am impressed with the product's data-sharing feature."
"The most valuable feature of Snowflake Analytics is its performance."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"There's space for improvement in the development process of the data pipelines."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The support and the documentation can be improved."
"The setup and configuration process could be simplified."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The product's cost is an area of concern where improvements are required."
"The solution needs to consider including some updates in the future."
"One area that could benefit from enhancement is the user interface for more visual ESM features."
"We haven't seen any areas that are lacking."
"Snowflake's Snowpark is an area of concern where improvements are required."
"The solution’s interface is good but it could be improved."
"If you have a lot of computations, it becomes very costly."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 31 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.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
