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 UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"We can store the data in a data lake for a very low cost."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The solution's integration is good."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It handles high volumes of data very well."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It is a very stable database."
"It's super easy to deploy and it also supports different languages and analytics."
"The loading speed is very good."
"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."
"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 works very well with large database queries."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"It needs more compatibility with common BI tools."
"The query is slow if we don't optimize it."
"This solution would be improved with an option for in-memory data analysis."
"More tools to help designers should be included."
"I would like the tool to support different operating systems."
"The reporting for certain types of data needs to be improved."
"Implementation takes a long time."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"Maintenance is time-consuming."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 6 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 "User-friendly UI and good support". 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, Oracle Database Appliance, Vertica and Apache Hadoop. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
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