We performed a comparison between IBM Db2 Warehouse and Snowflake Analytics 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."I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"The analytics engine is not bad at forecasting predictions."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"Provides good security and reliability."
"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."
"It is an all-in-one platform that provides the capabilities needed for various analytics tasks, including data warehousing for machine learning."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"The most valuable feature of Snowflake Analytics is its performance."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"I am impressed with the product's data-sharing feature."
"The solution auto-scales and it provides concurrency."
"The performance has been good."
"It is quite a convenient tool."
"There should be more material available for training and training should be free."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."
"Lacks sufficient documentation and particularly in Spanish."
"IBM Db2 Warehouse needs to improve its interface."
"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."
"Integration into different Python and Jupyter notebooks needs to be improved."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"Snowflake should include a WHERE clause for building data pipelines."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The platform's data governance space needs more capability."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"Snowflake's Snowpark is an area of concern where improvements are required."
"Snowflake could improve in the areas of advanced machine learning AML and generative AI."
IBM Db2 Warehouse is ranked 13th in Data Warehouse with 8 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. IBM Db2 Warehouse is rated 7.6, while Snowflake Analytics is rated 8.4. The top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and Teradata, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our IBM Db2 Warehouse vs. Snowflake Analytics report.
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.
