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."I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It is a very stable database."
"The most valuable feature for me is querying."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is a stable solution...It is a scalable solution."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"We can store the data in a data lake for a very low cost."
"The solution has been reliable."
"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'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."
"A very good, open-source platform."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"It works very well with large database queries."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The product must provide more frequent updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The solution is expensive and has room for improvement."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The reporting for certain types of data needs to be improved."
"They need to incorporate a machine learning engine."
"I think that the error messages need to be made more specific."
"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."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Maintenance is time-consuming."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Implementation takes a long time."
"Initial setup is a little complex. It took around two weeks to deploy."
"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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