We performed a comparison between IBM Db2 Warehouse on Cloud and Microsoft Parallel Data Warehouse based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."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."
"I am very satisfied with the customer service/technical support."
"The solution has been reliable."
"The solution's integration is good."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is not a pricey product compared to other data warehouse solutions."
"The data transmissions between the data models is the most valuable feature."
"It is a very stable database."
"The most valuable feature for me is querying."
"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."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"It needs more compatibility with common BI tools."
"This solution would be improved with an option for in-memory data analysis."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"The solution is expensive and has room for improvement."
"The reporting for certain types of data needs to be improved."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"I think that the error messages need to be made more specific."
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IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. IBM Db2 Warehouse on Cloud is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. 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". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". IBM Db2 Warehouse on Cloud is most compared with Amazon Redshift, IBM Netezza Performance Server, IBM Db2 Warehouse, Microsoft Azure Synapse Analytics and Snowflake, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake.
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.
