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."We can store the data in a data lake for a very low cost."
"It is not a pricey product compared to other data warehouse solutions."
"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."
"The solution's integration is good."
"It handles high volumes of data very well."
"The most valuable feature of this solution is performance."
"One of the most important features is the ease of using MS SQL."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"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."
"Helps us to achieve large-scale analytics."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The most valuable feature for us is horizontal scaling."
"It's super easy to deploy and it also supports different languages and analytics."
"A very good, open-source platform."
"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."
"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."
"I would like the tool to support different operating systems."
"The product must provide more frequent updates."
"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."
"I would like to see better visualization features."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"I think that the error messages need to be made more specific."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The installation is difficult and should be made easier."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
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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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