We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The performance is okay as long as the volume of queries is not too high."
"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."
"From a data warehouse perspective, it's an excellent all-round solution. It's very complete."
"The solution is very stable."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"They don't have any SLAs in place. It would be better if they did."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"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 price of Snowflake is quite reasonable."
Earn 20 points
IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.
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.
IBM Db2 Warehouse on Cloud is ranked 11th in Cloud Data Warehouse with 1 review while Snowflake is ranked 1st in Cloud Data Warehouse with 40 reviews. IBM Db2 Warehouse on Cloud is rated 5.0, while Snowflake is rated 8.4. The top reviewer of IBM Db2 Warehouse on Cloud writes "Good performance but poor scalability, and the technical support needs improvement". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". IBM Db2 Warehouse on Cloud is most compared with Amazon Redshift, IBM Netezza Performance Server, Microsoft Azure Synapse Analytics, Oracle Exadata and VMware Tanzu Greenplum, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Vertica, Firebolt and Teradata.
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.