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 handles high volumes of data very well."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature for me is querying."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable feature of this solution is performance."
"It performs very well overall."
"Tools like the BI and SAS are excellent."
"The most valuable feature is the business intelligence (BI) part of it."
"The loading speed is very good."
"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."
"Helps us to achieve large-scale analytics."
"The most valuable feature for us is horizontal scaling."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"It works very well with large database queries."
"We find the cost of the solution to be a little high."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The query is slow if we don't optimize it."
"I think that the error messages need to be made more specific."
"The reporting for certain types of data needs to be improved."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like the tool to support different operating systems."
"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."
"Extra filters would be helpful."
"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."
"The installation is difficult and should be made easier."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Maintenance is time-consuming."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
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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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