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 solution has been reliable."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Data collection and reporting are valuable features of the solution."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"We can store the data in a data lake for a very low cost."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"The most valuable feature for us is horizontal scaling."
"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."
"A very good, open-source 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."
"Pivotal Greenplum's shared-nothing architecture."
"It works very well with large database queries."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"It could offer more development across the solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The product does not have all of the features that the native products have."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It needs more compatibility with common BI tools."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Maintenance is time-consuming."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
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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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