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."I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Tools like the BI and SAS are excellent."
"It is a stable solution...It is a scalable solution."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"We have complete control over our data."
"The most valuable feature for me is querying."
"I am very satisfied with the customer service/technical support."
"The most valuable feature for us is horizontal scaling."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"It works very well with large database queries."
"Helps us to achieve large-scale analytics."
"Very fast for query processing."
"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."
"I would like to see better visualization features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"This solution would be improved with an option for in-memory data analysis."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The product does not have all of the features that the native products have."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It could offer more development across the solution."
"The product must provide more frequent updates."
"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."
"The installation is difficult and should be made easier."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Initial setup is a little complex. It took around two weeks to deploy."
"Implementation takes a long time."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"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."
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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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