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."The solution has been reliable."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature is the business intelligence (BI) part of it."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Tools like the BI and SAS are excellent."
"The most valuable features are the performance and usability."
"It is a stable solution...It is a scalable solution."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Helps us to achieve large-scale analytics."
"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."
"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."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"A very good, open-source platform."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The reporting for certain types of data needs to be improved."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"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."
"This solution would be improved with an option for in-memory data analysis."
"The solution is expensive and has room for improvement."
"We'd like to see it be a bit more compatible with other solutions."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"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."
"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."
"The installation is difficult and should be made easier."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Implementation takes a long time."
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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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