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."
"It will be MPP, so performance should improve."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"It is not a pricey product compared to other data warehouse solutions."
"We have complete control over our data."
"Data collection and reporting are valuable features of the solution."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"I am very satisfied with the customer service/technical support."
"It handles high volumes of data very well."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"It is a very stable database."
"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."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"I think that the error messages need to be made more specific."
"This solution would be improved with an option for in-memory data analysis."
"More tools to help designers should be included."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It could offer more development across the solution."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"It could be made more user-friendly for business users which would increase the user base."
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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 Microsoft Azure Synapse Analytics, IBM Db2 Warehouse, Amazon Redshift, IBM Netezza Performance Server and Snowflake, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum.
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.