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."I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar."
"I have primarily used the Redshift Spectrum feature and found it most valuable."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"The most valuable feature is its scalability."
"You can copy JSON to the column and have it analyzed using simple functions."
"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."
"It's scalable because it's on the cloud."
"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."
"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 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."
"The analytics engine is not bad at forecasting predictions."
"The explain panel in the Redshift database could be better."
"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."
"There are too many limitations with respect to concurrency."
"It would be good to see Redshift as a serverless offering."
"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."
"If you require a highly scalable solution, I would not recommend Amazon Redshift."
"It takes a lot of time to ingest and update the data."
"This solution lacks integration with non-AWS sources."
"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."
"IBM Db2 Warehouse needs to improve its interface."
"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."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"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."
"Lacks sufficient documentation and particularly in Spanish."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while IBM Db2 Warehouse is ranked 14th 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 AWS Lake Formation, Snowflake, Vertica, Teradata and Microsoft Azure Synapse Analytics, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Apache Hadoop, IBM Db2 Warehouse on Cloud and BigQuery. 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.
