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 data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"It is not a pricey product compared to other data warehouse solutions."
"We have complete control over our data."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable features are the performance and usability."
"It is a very stable database."
"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."
"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."
"It works very well with large database queries."
"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."
"The most valuable feature for us is horizontal scaling."
"The loading speed is very good."
"Helps us to achieve large-scale analytics."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"We'd like to see it be a bit more compatible with other solutions."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The query is slow if we don't optimize it."
"This solution would be improved with an option for in-memory data analysis."
"I think that the error messages need to be made more specific."
"They need to incorporate a machine learning engine."
"It needs more compatibility with common BI tools."
"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."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Extra filters would be helpful."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
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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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