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 way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"The performance is okay as long as the volume of queries is not too high."
"It will be MPP, so performance should improve."
"The most efficient way for real-time dashboards or analytical business intelligence reports to be sent to the customer."
"The solution's customer service is good."
"Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost."
"The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem."
"Great scalability and near zero maintenance."
"The most valuable feature is the clone copy."
"I like the fact that we don't need a DBA. It automatically scales stuff."
"The initial setup is straightforward. You just need to follow the documentation."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"The product's performance could be improved."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"Support needs improvement, as it can take several days before you get some initial support."
"Some SQL language functions could be included."
"They have a new console, but I couldn't figure out anything in the new console. So, if I shift to the old console, I can figure out where to create the database schema and other things, but I have no idea where to go in the new console. That's one thing they can improve. I don't know why they created a new console to confuse. The old, classic console is much better."
"Snowflake needs transparency over costs and pricing."
"The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures. You have to write in JavaScript. If they supported SQL language and stored procedures, it would make migration from on-prem much simpler. In most cases, if an on-prem solution has stored procedures, they're usually written in SQL. They're not written as what most on-prem DBMS would refer to as an external stored procedure, which is what these feel like to most people because they're written in a language outside of SQL."
"In future releases, it can also support full unstructured data."
IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse while Snowflake is ranked 1st in Cloud Data Warehouse with 94 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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