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 am very satisfied with the customer service/technical support."
"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 feature for me is querying."
"The data transmissions between the data models is the most valuable feature."
"We have complete control over our data."
"The solution has been reliable."
"It performs very well overall."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"A very good, open-source platform."
"Very fast for query processing."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"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."
"The most valuable feature for us is horizontal scaling."
"It works very well with large database queries."
"Pivotal Greenplum's shared-nothing architecture."
"The product must provide more frequent updates."
"I would like to see better visualization features."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could be made more user-friendly for business users which would increase the user base."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"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."
"We'd like to see it be a bit more compatible with other solutions."
"The installation is difficult and should be made easier."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Initial setup is a little complex. It took around two weeks to deploy."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"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."
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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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