We performed a comparison between IBM Db2 Warehouse and Microsoft Parallel Data 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."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."
"The analytics engine is not bad at forecasting predictions."
"Provides good security and reliability."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"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 data transmissions between the data models is the most valuable feature."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable features are the performance and usability."
"It is a very stable database."
"Data collection and reporting are valuable features of the solution."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"One of the most important features is the ease of using MS SQL."
"It is a stable solution...It is a scalable solution."
"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 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."
"There should be more material available for training and training should be free."
"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."
"IBM Db2 Warehouse needs to improve its interface."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"Lacks sufficient documentation and particularly in Spanish."
"This solution would be improved with an option for in-memory data analysis."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It could be made more user-friendly for business users which would increase the user base."
"The reporting for certain types of data needs to be improved."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The query is slow if we don't optimize it."
"More tools to help designers should be included."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
IBM Db2 Warehouse is ranked 13th in Data Warehouse with 8 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. IBM Db2 Warehouse is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". 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 is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and Teradata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum. See our IBM Db2 Warehouse vs. Microsoft Parallel Data Warehouse report.
See our list of best 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.
