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 solution's integration is good."
"One of the most important features is the ease of using MS SQL."
"I am very satisfied with the customer service/technical support."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"Data collection and reporting are valuable features of the solution."
"We can store the data in a data lake for a very low cost."
"It is not a pricey product compared to other data warehouse solutions."
"The most valuable feature of this solution is performance."
"A very good, open-source platform."
"The loading speed is very good."
"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."
"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."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Helps us to achieve large-scale 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."
"This solution would be improved with an option for in-memory data analysis."
"I would like the tool to support different operating systems."
"The reporting for certain types of data needs to be improved."
"I think that the error messages need to be made more specific."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"I would like to see better visualization features."
"It could offer more development across the solution."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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."
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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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