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."Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Tools like the BI and SAS are excellent."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is a stable solution...It is a scalable solution."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable feature is the business intelligence (BI) part of it."
"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."
"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."
"It works very well with large database queries."
"Helps us to achieve large-scale analytics."
"The most valuable feature for us is horizontal scaling."
"The loading speed is very good."
"It's super easy to deploy and it also supports different languages and analytics."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It needs more compatibility with common BI tools."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The product must provide more frequent updates."
"The reporting for certain types of data needs to be improved."
"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."
"This solution would be improved with an option for in-memory data analysis."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Extra filters would be helpful."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Maintenance is time-consuming."
"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."
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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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