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 can store the data in a data lake for a very low cost."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is a very stable database."
"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."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It performs very well overall."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The most valuable feature for us is horizontal scaling."
"It's super easy to deploy and it also supports different languages and analytics."
"It works very well with large database queries."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"Very fast for query processing."
"The solution is expensive and has room for improvement."
"I would like to see better visualization features."
"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."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"I think that the error messages need to be made more specific."
"It could be made more user-friendly for business users which would increase the user base."
"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."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"Extra filters would be helpful."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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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