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."Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"The solution's integration is good."
"It is a stable solution...It is a scalable solution."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It performs very well overall."
"The data transmissions between the data models is the most valuable feature."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"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."
"Very fast for query processing."
"A very good, open-source platform."
"Helps us to achieve large-scale analytics."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"The most valuable feature for us is horizontal scaling."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I think that the error messages need to be made more specific."
"This solution would be improved with an option for in-memory data analysis."
"We find the cost of the solution to be a little high."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like to see better visualization features."
"They need to incorporate a machine learning engine."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"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."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
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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 Snowflake. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
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