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 handles high volumes of data very well."
"The most valuable features are the performance and usability."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"One of the most important features is the ease of using MS SQL."
"Data collection and reporting are valuable features of the solution."
"The solution has been reliable."
"The most valuable feature for me is querying."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"It works very well with large database queries."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"Helps us to achieve large-scale analytics."
"The loading speed is very good."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"The product must provide more frequent updates."
"It needs more compatibility with common BI tools."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The solution is expensive and has room for improvement."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"We find the cost of the solution to be a little high."
"The query is slow if we don't optimize it."
"It could be made more user-friendly for business users which would increase the user base."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Implementation takes a long time."
"Maintenance is time-consuming."
"Extra filters would be helpful."
"Tanzu Greenplum's compression for GPText could be made more efficient."
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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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