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 is a very stable database."
"One of the most important features is the ease of using MS SQL."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The data transmissions between the data models is the most valuable feature."
"Tools like the BI and SAS are excellent."
"It is a stable solution...It is a scalable solution."
"The most valuable feature is the business intelligence (BI) part of it."
"It is not a pricey product compared to other data warehouse solutions."
"A very good, open-source platform."
"Pivotal Greenplum's shared-nothing architecture."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The loading speed is very good."
"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 most valuable feature for us is horizontal scaling."
"Very fast for query processing."
"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."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"This solution would be improved with an option for in-memory data analysis."
"I would like the tool to support different operating systems."
"We find the cost of the solution to be a little high."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"Initial setup is a little complex. It took around two weeks to deploy."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"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."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
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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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