We performed a comparison between Amazon Redshift and IBM Db2 Warehouse on Cloud 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."Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."
"The product offers good support for the data lake."
"I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"You can copy JSON to the column and have it analyzed using simple functions."
"Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"For the on-premises version of Amazon Redshift, we need to start from scratch. However, with the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features."
"Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly."
"The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"It will be MPP, so performance should improve."
"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."
"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."
"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."
"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."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"Sometimes, it's difficult to get the metadata from Redshift."
"The initial deployment was complex."
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"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."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse. Amazon Redshift is rated 7.8, while IBM Db2 Warehouse on Cloud 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 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". Amazon Redshift is most compared with Teradata, Vertica, Snowflake, Microsoft Azure Synapse Analytics and AWS Lake Formation, whereas IBM Db2 Warehouse on Cloud is most compared with IBM Db2 Warehouse, IBM Netezza Performance Server and Snowflake. See our Amazon Redshift vs. IBM Db2 Warehouse on Cloud 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.