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."
"It will be MPP, so performance should improve."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"Snowflake is faster than on-premise systems and allows for variable compute power based on need."
"Snowflake has three great features: Snowpiping is proving to be very valuable, Time Travel is excellent, and Snowpipes are another great functionality the solution has made available."
"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."
"Scaling is a big plus point of Snowflake."
"I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well."
"The solution is easy to use."
"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."
"The feature that is really striking is the ability to translate the SQL workloads into the NoSQL version that can be used by Snowflake."
"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."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."
"From the documentation, the black box is not very descriptive. Snowflake does not reveal how exactly the data is processed or sourced."
"If they could bring in some tools for data integration, it would be really great."
"There are always a few operation updates here and there that can be made."
"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."
"In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
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.
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.