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."One of the most important features is the ease of using MS SQL."
"Tools like the BI and SAS are excellent."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"It performs very well overall."
"I am very satisfied with the customer service/technical support."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"We can store the data in a data lake for a very low cost."
"The solution has been reliable."
"Very fast for query processing."
"A very good, open-source platform."
"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."
"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 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."
"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."
"It could be made more user-friendly for business users which would increase the user base."
"They need to incorporate a machine learning engine."
"It could offer more development across the solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The query is slow if we don't optimize it."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"The installation is difficult and should be made easier."
"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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