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 is a stable solution...It is a scalable solution."
"It is not a pricey product compared to other data warehouse solutions."
"I am very satisfied with the customer service/technical support."
"It handles high volumes of data very well."
"The data transmissions between the data models is the most valuable feature."
"Tools like the BI and SAS are excellent."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"We can store the data in a data lake for a very low cost."
"Helps us to achieve large-scale analytics."
"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."
"A very good, open-source platform."
"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."
"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."
"It works very well with large database queries."
"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."
"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."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The product does not have all of the features that the native products have."
"The solution is expensive and has room for improvement."
"We'd like to see it be a bit more compatible with other solutions."
"It could offer more development across the solution."
"The reporting for certain types of data needs to be improved."
"I would like to see better visualization features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The installation is difficult and should be made easier."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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."
"Maintenance is time-consuming."
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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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