We performed a comparison between Amazon Redshift and IBM Db2 Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the scalability, as it grows according to our needs."
"The processing of data is very fast."
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."
"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"The product offers good support for the data lake."
"The ability to reload data multiple times at different times."
"Redshift Spectrum is the most valuable feature."
"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."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"The analytics engine is not bad at forecasting predictions."
"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."
"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."
"It would be useful to have an option where all of the data can be queried at once and then have the result shown."
"The product must become a bit more serverless."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"I would like to improve the pricing and the simplicity of using this solution."
"Amazon Redshift is a little more expensive than other products."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"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."
"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."
"There should be more material available for training and training should be free."
"Lacks sufficient documentation and particularly in Spanish."
"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."
"IBM Db2 Warehouse needs to improve its interface."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 59 reviews while IBM Db2 Warehouse is ranked 13th in Data Warehouse with 8 reviews. Amazon Redshift is rated 7.8, while IBM Db2 Warehouse is rated 7.6. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". Amazon Redshift is most compared with Snowflake, Teradata, AWS Lake Formation, Vertica and Microsoft Azure Synapse Analytics, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Apache Hadoop, Teradata and IBM Db2 Warehouse on Cloud. See our Amazon Redshift vs. IBM Db2 Warehouse report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all 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.
