We performed a comparison between Microsoft Parallel Data Warehouse and VMware Tanzu Greenplum 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 has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"It is a very stable database."
"The most valuable feature of this solution is performance."
"One of the most important features is the ease of using MS SQL."
"It is a stable solution...It is a scalable solution."
"The solution has been reliable."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Data collection and reporting are valuable features of the solution."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"It works very well with large database queries."
"The loading speed is very good."
"The most valuable feature for us is horizontal scaling."
"Very fast for query processing."
"Pivotal Greenplum's shared-nothing architecture."
"A very good, open-source platform."
"It's super easy to deploy and it also supports different languages and analytics."
"The product does not have all of the features that the native products have."
"It needs more compatibility with common BI tools."
"I think that the error messages need to be made more specific."
"I would like to see better visualization features."
"I would like the tool to support different operating systems."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The reporting for certain types of data needs to be improved."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"Implementation takes a long time."
"The installation is difficult and should be made easier."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Initial setup is a little complex. It took around two weeks to deploy."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while VMware Tanzu Greenplum is rated 7.8. 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". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and Snowflake, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance and Apache Hadoop. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
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