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."
"Provides good security and reliability."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"The analytics engine is not bad at forecasting predictions."
"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 standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"We can store the data in a data lake for a very low cost."
"The solution's integration is good."
"One of the most important features is the ease of using MS SQL."
"It handles high volumes of data very well."
"It is a very stable database."
"The most valuable feature is the business intelligence (BI) part of it."
"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 challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."
"There should be more material available for training and training should be free."
"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."
"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."
"It could be made more user-friendly for business users which would increase the user base."
"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."
"We'd like to see it be a bit more compatible with other solutions."
"More tools to help designers should be included."
"The product does not have all of the features that the native products have."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I would like the tool to support different operating systems."
"I would like to see better visualization features."
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IBM Db2 Warehouse is ranked 14th 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 IBM Db2 Warehouse on Cloud, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake. See our IBM Db2 Warehouse vs. Microsoft Parallel Data Warehouse report.
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