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 is a very stable database."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is a stable solution...It is a scalable solution."
"The data transmissions between the data models is the most valuable feature."
"We can store the data in a data lake for a very low cost."
"We have complete control over our data."
"The solution's integration is good."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Helps us to achieve large-scale analytics."
"It works very well with large database queries."
"A very good, open-source platform."
"The loading speed is very good."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"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."
"We'd like to see it be a bit more compatible with other solutions."
"It could offer more development across the solution."
"It could be made more user-friendly for business users which would increase the user base."
"The query is slow if we don't optimize it."
"The product must provide more frequent updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It needs more compatibility with common BI tools."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Extra filters would be helpful."
"Maintenance is time-consuming."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"Initial setup is a little complex. It took around two weeks to deploy."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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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