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 features are the performance and usability."
"It is a very stable database."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable feature is the business intelligence (BI) part of it."
"The solution's integration is good."
"It is not a pricey product compared to other data warehouse solutions."
"It is a stable solution...It is a scalable solution."
"Pivotal Greenplum's shared-nothing architecture."
"Very fast for query processing."
"It works very well with large database queries."
"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."
"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 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."
"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 could offer more development across the solution."
"I would like the tool to support different operating systems."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"More tools to help designers should be included."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"We'd like to see it be a bit more compatible with other solutions."
"Extra filters would be helpful."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Initial setup is a little complex. It took around two weeks to deploy."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
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 Snowflake. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
See our list of best Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.