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."I am very satisfied with the customer service/technical support."
"It performs very well overall."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"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."
"We can store the data in a data lake for a very low cost."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"One of the most important features is the ease of using MS SQL."
"We have complete control over our data."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"It works very well with large database queries."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"A very good, open-source platform."
"The most valuable feature for us is horizontal scaling."
"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."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"They need to incorporate a machine learning engine."
"I would like to see better visualization features."
"The product does not have all of the features that the native products have."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The query is slow if we don't optimize it."
"I would like the tool to support different operating systems."
"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."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"The installation is difficult and should be made easier."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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)."
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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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