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."We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The solution has been reliable."
"The data transmissions between the data models is the most valuable feature."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"We have complete control over our data."
"I am very satisfied with the customer service/technical support."
"The most valuable features are the performance and usability."
"The loading speed is very good."
"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."
"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."
"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."
"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 works very well with large database queries."
"A very good, open-source platform."
"The most valuable feature for us is horizontal scaling."
"The product does not have all of the features that the native products have."
"It could be made more user-friendly for business users which would increase the user base."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"I would like to see better visualization features."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"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."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
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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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