We performed a comparison between IBM Db2 Warehouse on Cloud and Snowflake based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"It will be MPP, so performance should improve."
"The most valuable feature is the clone copy."
"The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently."
"It is a very easy-to-use solution. It is user-friendly, and its setup time is very less."
"The solution is easy to use."
"Snowflake is faster than on-premise systems and allows for variable compute power based on need."
"The solution is very easy to use."
"The most valuable features of Snowflake are its performance and power."
"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."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Snowflake needs transparency over costs and pricing."
"Their UiPath, the workspace area, needs some work."
"The cost is a bit high."
"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."
"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."
"It would benefit from an administration that allows you to be aware of your credit consumption once you have the service so that you may be sure how many credits you are consuming when you use the platform and to make sure that you are making the most efficient use of these resources. In other words, to improve their interface so that you may monitor the consumption of your credits on Cloud."
"Its transaction application needs improvement."
"The data sharing capabilities across business units within the organization should be better."
IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse while Snowflake is ranked 1st in Cloud Data Warehouse with 95 reviews. IBM Db2 Warehouse on Cloud is rated 7.6, while Snowflake is rated 8.4. The top reviewer of IBM Db2 Warehouse on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". IBM Db2 Warehouse on Cloud is most compared with IBM Db2 Warehouse, Amazon Redshift and IBM Netezza Performance Server, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our IBM Db2 Warehouse on Cloud vs. Snowflake report.
See our list of best Cloud Data Warehouse vendors and best Data Warehouse vendors.
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