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 data transmissions between the data models is the most valuable feature."
"The most valuable feature for me is querying."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The solution's integration is good."
"The solution has been reliable."
"It is not a pricey product compared to other data warehouse solutions."
"The most valuable features are the performance and usability."
"The most valuable feature of this solution is performance."
"It works very well with large database queries."
"Helps us to achieve large-scale analytics."
"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 super easy to deploy and it also supports different languages and analytics."
"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."
"The loading speed is very good."
"The most valuable feature for us is horizontal scaling."
"Very fast for query processing."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"This solution would be improved with an option for in-memory data analysis."
"They need to incorporate a machine learning engine."
"More tools to help designers should be included."
"It could be made more user-friendly for business users which would increase the user base."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"It could offer more development across the solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"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."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"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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