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."I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The most valuable feature is the business intelligence (BI) part of it."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable features are the performance and usability."
"The solution's integration is good."
"We have complete control over our data."
"It performs very well overall."
"Data collection and reporting are valuable features of the solution."
"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."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"It's super easy to deploy and it also supports different languages and 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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP 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."
"The query is slow if we don't optimize it."
"We find the cost of the solution to be a little high."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"They need to incorporate a machine learning engine."
"This solution would be improved with an option for in-memory data analysis."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"Maintenance is time-consuming."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"The installation is difficult and should be made easier."
"Implementation takes a long time."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
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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 Snowflake. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
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