We performed a comparison between Microsoft Parallel Data Warehouse 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."The most valuable feature is the business intelligence (BI) part of it."
"One of the most important features is the ease of using MS SQL."
"It is a stable solution...It is a scalable solution."
"The most valuable feature of this solution is performance."
"I am very satisfied with the customer service/technical support."
"The solution has been reliable."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It performs very well overall."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"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."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"It is an all-in-one platform that provides the capabilities needed for various analytics tasks, including data warehousing for machine learning."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"One of the key advancements in Snowflake Analytics is data sharing."
"The solution auto-scales and it provides concurrency."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"They need to incorporate a machine learning engine."
"It could be made more user-friendly for business users which would increase the user base."
"The query is slow if we don't optimize it."
"The reporting for certain types of data needs to be improved."
"The product does not have all of the features that the native products have."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"If you have a lot of computations, it becomes very costly."
"Snowflake could improve in the areas of advanced machine learning AML and generative AI."
"Snowflake's Snowpark is an area of concern where improvements are required."
"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."
"The solution needs to consider including some updates in the future."
"The solution’s interface is good but it could be improved."
"One area that could benefit from enhancement is the user interface for more visual ESM features."
"The solution's high price can be an area of concern that needs improvement."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Snowflake Analytics is rated 8.4. The top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our Microsoft Parallel Data Warehouse 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.
