Anonymous UserSolution Architect at a wholesaler/distributor
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I am very satisfied with the customer service/technical support."
"The most valuable features are the performance and usability."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature of this solution is performance."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes."
"The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications."
"They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises."
"The initial setup is straightforward. You just need to follow the documentation."
"The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services."
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
"I like the idea that you can assign roles and responsibilities, limiting access to data."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"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."
"More tools to help designers should be included."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"The reporting for certain types of data needs to be improved."
"This solution would be improved with an option for in-memory data analysis."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source."
"Support needs improvement, as it can take several days before you get some initial support."
"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."
"The solution could improve the user interface and add functionality to the system."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in."
"If you go with one cloud provider, you can't switch."
"Availability is a problem."
"I think the program is well-priced compared to the other offerings that are out in the market."
"Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
"All the features that we use do not require any additional subscription or yearly fees."
"Pricing can be confusing for customers."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"It is not cheap."
"The pricing for Snowflake is competitive."
"On average, with the number of queries that we run, we pay approximately $200 USD per month."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"The price of Snowflake is very reasonable."
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
Snowflake provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises and cloud data platforms were not designed.
Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews while Snowflake is ranked 1st in Data Warehouse with 38 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Snowflake is rated 8.4. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Teradata and VMware Tanzu Greenplum, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Firebolt, Vertica and Teradata. See our Microsoft Parallel Data Warehouse vs. Snowflake report.
See our list of best Data Warehouse vendors.
We monitor all 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.