We performed a comparison between Microsoft Parallel Data Warehouse and Snowflake based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution's integration is good."
"It performs very well overall."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Data collection and reporting are valuable features of the solution."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable feature for me is querying."
"The solution has been reliable."
"I have found the solution's most valuable features to be storage, flexibility, ease of use, and security."
"The solution's customer service is good."
"It is quite easy to manage."
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"The most valuable feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
"The solution is expensive and has room for improvement."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"It needs more compatibility with common BI tools."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"They need to incorporate a machine learning engine."
"I would like the tool to support different operating systems."
"It could offer more development across the solution."
"If you go with one cloud provider, you can't switch."
"Its transaction application needs improvement."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"Every product has room for improvement, although in this case, it needs some broadening of the functionality."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"They have a new console, but I couldn't figure out anything in the new console. So, if I shift to the old console, I can figure out where to create the database schema and other things, but I have no idea where to go in the new console. That's one thing they can improve. I don't know why they created a new console to confuse. The old, classic console is much better."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while Snowflake is ranked 1st in Data Warehouse with 92 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Snowflake 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 writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and VMware Tanzu Greenplum, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our Microsoft Parallel Data Warehouse vs. Snowflake report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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