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 most valuable feature for me is querying."
"It is a stable solution...It is a scalable solution."
"It is a very stable database."
"The solution's integration is good."
"Data collection and reporting are valuable features of the solution."
"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."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"It handles high volumes of data very well."
"Pivotal Greenplum's shared-nothing architecture."
"Helps us to achieve large-scale analytics."
"A very good, open-source platform."
"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."
"The most valuable feature for us is horizontal scaling."
"It's super easy to deploy and it also supports different languages and analytics."
"Very fast for query processing."
"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."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"I would like the tool to support different operating systems."
"It could be made more user-friendly for business users which would increase the user base."
"More tools to help designers should be included."
"They need to incorporate a machine learning engine."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"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."
"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."
"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."
"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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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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