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."Tools like the BI and SAS are excellent."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature for me is querying."
"The most valuable features are the performance and usability."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The solution's integration is good."
"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."
"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."
"The most valuable feature for us is horizontal scaling."
"It works very well with large database queries."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"The loading speed is very good."
"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."
"A very good, open-source platform."
"The product must provide more frequent updates."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"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."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"We'd like to see it be a bit more compatible with other solutions."
"They need to incorporate a machine learning engine."
"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."
"Implementation takes a long time."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
"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."
"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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