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."
"The solution's integration is good."
"The data transmissions between the data models is the most valuable feature."
"It handles high volumes of data very well."
"Data collection and reporting are valuable features of the solution."
"It performs very well overall."
"The solution has been reliable."
"The most valuable feature of this solution is performance."
"Very fast for query processing."
"It works very well with large database queries."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The most valuable feature for us is horizontal scaling."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"A very good, open-source platform."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"The reporting for certain types of data needs to be improved."
"It needs more compatibility with common BI tools."
"The solution is expensive and has room for improvement."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We'd like to see it be a bit more compatible with other solutions."
"I think that the error messages need to be made more specific."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The query is slow if we don't optimize it."
"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."
"The installation is difficult and should be made easier."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Initial setup is a little complex. It took around two weeks to deploy."
"Extra filters would be helpful."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
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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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