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."The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"Provides good security and reliability."
"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."
"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."
"The most valuable feature for me is querying."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The data transmissions between the data models is the most valuable feature."
"It is a very stable database."
"Data collection and reporting are valuable features of the solution."
"It is a stable solution...It is a scalable solution."
"We can store the data in a data lake for a very low cost."
"One of the most important features is the ease of using MS SQL."
"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."
"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."
"Lacks sufficient documentation and particularly in Spanish."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"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 feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"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."
"I would like to see better visualization features."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"It could offer more development across the solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could be made more user-friendly for business users which would increase the user base."
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IBM Db2 Warehouse is ranked 16th in Data Warehouse with 3 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews. IBM Db2 Warehouse is rated 7.4, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of IBM Db2 Warehouse writes "The analytics engine is valuable and the solution is pretty scalable, but it needs more online resources and lacks power". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "User-friendly UI and good support". IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and IBM Db2 Warehouse on Cloud, 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.
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