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 performs very well overall."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"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 most valuable feature of this solution is performance."
"We can store the data in a data lake for a very low cost."
"The most valuable feature is the business intelligence (BI) part of it."
"Tools like the BI and SAS are excellent."
"It's super easy to deploy and it also supports different languages and analytics."
"Helps us to achieve large-scale analytics."
"It works very well with large database queries."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP 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 loading speed is very good."
"Very fast for query processing."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could offer more development across the solution."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"We'd like to see it be a bit more compatible with other solutions."
"I would like the tool to support different operating systems."
"The product does not have all of the features that the native products have."
"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."
"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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"Implementation takes a long time."
"Maintenance is time-consuming."
"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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