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."Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"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."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"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."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The most valuable feature is the copy activity."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"It is quite a convenient tool."
"It helps with business intelligence by providing analytics that can be reported."
"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."
"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"It can run complex workloads with varied compute."
"Lacks in-built streaming data processing."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"If you have a lot of computations, it becomes very costly."
"The platform could work easier for AI implementation compared to one of its competitors."
"Machine learning should be improved."
"We haven't seen any areas that are lacking."
"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"The solution's high price can be an area of concern that needs improvement."
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.
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