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."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"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."
"The most valuable feature for me is querying."
"We have complete control over our data."
"The solution has been reliable."
"It is a stable solution...It is a scalable solution."
"It's super easy to deploy and it also supports different languages and analytics."
"Pivotal Greenplum's shared-nothing architecture."
"It works very well with large database queries."
"The loading speed is very good."
"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."
"A very good, open-source platform."
"Helps us to achieve large-scale analytics."
"I would like the tool to support different operating systems."
"It could be made more user-friendly for business users which would increase the user base."
"More tools to help designers should be included."
"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."
"They need to incorporate a machine learning engine."
"The reporting for certain types of data needs to be improved."
"The product does not have all of the features that the native products have."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"Extra filters would be helpful."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"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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