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."We have complete control over our data."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable feature of this solution is performance."
"The most valuable feature is the business intelligence (BI) part of it."
"It is a very stable database."
"The solution's integration is good."
"One of the most important features is the ease of using MS SQL."
"It performs very well overall."
"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 loading speed is very good."
"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."
"The most valuable feature for us is horizontal scaling."
"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."
"A very good, open-source platform."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"We find the cost of the solution to be a little high."
"More tools to help designers should be included."
"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."
"They need to incorporate a machine learning engine."
"I think that the error messages need to be made more specific."
"The query is slow if we don't optimize it."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Initial setup is a little complex. It took around two weeks to deploy."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Extra filters would be helpful."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
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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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