Anonymous UserSenior Snowflake Data Architect @ COOP Financials NC at a tech services company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"I like that it's integrated with other Azure products."
"This is a well-integrated solution and that integration empowers results."
"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."
"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Functionality needs to be more up-to-date with competing products."
"The pricing model needs to be improved."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"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."
"The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Users have to pay extra for premium-level technical support."
"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."
"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."
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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 Analytics Platform System is ranked 15th in Data Warehouse with 4 reviews while Snowflake is ranked 1st in Data Warehouse with 41 reviews. Microsoft Analytics Platform System is rated 6.2, while Snowflake is rated 8.4. The top reviewer of Microsoft Analytics Platform System writes "Has unique functionality for advanced analytics but could use enhancement in machine learning and AI features". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Apache Hadoop, Oracle Exadata and IBM Netezza Performance Server, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Firebolt, Vertica and Teradata. See our Microsoft Analytics Platform System vs. Snowflake report.
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