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."Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"It is a very stable database."
"Tools like the BI and SAS are excellent."
"The most valuable feature for me is querying."
"It performs very well overall."
"The solution's integration is good."
"I am very satisfied with the customer service/technical support."
"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."
"Helps us to achieve large-scale analytics."
"The most valuable feature for us is horizontal scaling."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"A very good, open-source platform."
"The loading speed is very good."
"Very fast for query processing."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"It needs more compatibility with common BI tools."
"I would like the tool to support different operating systems."
"We find the cost of the solution to be a little high."
"It could offer more development across the solution."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The product does not have all of the features that the native products have."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Extra filters would be helpful."
"Implementation takes a long time."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"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."
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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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