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 product is relatively easy to use because there is no indexing and no partitions."
"Easy to build out our snowflake design and load data."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes."
"The most valuable feature of Redshift is its cluster."
"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."
"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."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"The analytics engine is not bad at forecasting predictions."
"Provides good security and reliability."
"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."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"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."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"In our experiments, the handling of unstructured data was not very smooth."
"It would be good to see Redshift as a serverless offering."
"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 explain panel in the Redshift database could be better."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"There should be more material available for training and training should be free."
"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."
"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 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, Teradata, Vertica 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.
