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 data transmissions between the data models is the most valuable feature."
"We can store the data in a data lake for a very low cost."
"I am very satisfied with the customer service/technical support."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is not a pricey product compared to other data warehouse solutions."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Data collection and reporting are valuable features of the solution."
"We have complete control over our data."
"Very fast for query processing."
"Helps us to achieve large-scale analytics."
"The most valuable feature for us is horizontal scaling."
"The loading speed is very good."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"It's super easy to deploy and it also supports different languages and analytics."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"They need to incorporate a machine learning engine."
"We'd like to see it be a bit more compatible with other solutions."
"We find the cost of the solution to be a little high."
"The query is slow if we don't optimize it."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"It could be made more user-friendly for business users which would increase the user base."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Implementation takes a long time."
"The installation is difficult and should be made easier."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"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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