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 UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"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."
"The solution's integration is good."
"Data collection and reporting are valuable features of the solution."
"The most valuable feature is the business intelligence (BI) part of it."
"Very fast for query processing."
"Helps us to achieve large-scale analytics."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"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."
"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."
"A very good, open-source platform."
"It's super easy to deploy and it also supports different languages and analytics."
"The solution is expensive and has room for improvement."
"I would like to see better visualization features."
"More tools to help designers should be included."
"They need to incorporate a machine learning engine."
"The product must provide more frequent updates."
"It could be made more user-friendly for business users which would increase the user base."
"This solution would be improved with an option for in-memory data analysis."
"The reporting for certain types of data needs to be improved."
"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."
"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."
"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 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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"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."
"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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