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."Provides good security and reliability."
"The solution is stable."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"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."
"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 analytics engine is not bad at forecasting predictions."
"The most valuable feature of this solution is performance."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"We can store the data in a data lake for a very low cost."
"It is not a pricey product compared to other data warehouse solutions."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It is a stable solution...It is a scalable solution."
"The solution's integration is good."
"IBM Db2 Warehouse needs to improve its interface."
"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."
"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"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."
"There should be more material available for training and training should be free."
"It needs more compatibility with common BI tools."
"I think that the error messages need to be made more specific."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"I would like to see better visualization features."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"If the database is large with a lot of columns then it is difficult to clean the data."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
IBM Db2 Warehouse is ranked 12th in Data Warehouse with 9 reviews while Microsoft Parallel Data Warehouse is ranked 9th in Data Warehouse with 32 reviews. IBM Db2 Warehouse is rated 7.8, 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, IBM Db2 Warehouse on Cloud and Apache Hadoop, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and Snowflake. 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.
