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."It is a very stable database."
"The solution's integration is good."
"I am very satisfied with the customer service/technical support."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Data collection and reporting are valuable features of the solution."
"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."
"It handles high volumes of data very well."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The most valuable feature for us is horizontal scaling."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The loading speed is very good."
"Pivotal Greenplum's shared-nothing architecture."
"A very good, open-source platform."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"They need to incorporate a machine learning engine."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"We'd like to see it be a bit more compatible with other solutions."
"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 would like the ability to do more real-time type updates instead of batch-oriented updates."
"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."
"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."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Implementation takes a long time."
"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."
"Maintenance is time-consuming."
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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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