Anonymous UserSenior Data Engineer at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Unbeatable speed and compression with a colummn-structured relational database."
"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."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"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."
"The only costs after standard licensing fees are for add-ons and upgrades."
"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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SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
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.
SAP IQ is ranked 11th in Data Warehouse with 1 review while Snowflake is ranked 1st in Data Warehouse with 39 reviews. SAP IQ is rated 8.0, while Snowflake is rated 8.4. The top reviewer of SAP IQ writes "An excellent column-based, enterprise relational database solution with good speed and compression". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". SAP IQ is most compared with SAP Adaptive Server Enterprise, Apache Hadoop, SAP HANA, Oracle Database and Oracle Exadata, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Firebolt, Vertica and Teradata.
See our list of best Data Warehouse vendors.
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