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."
"It is a very stable database."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"I am very satisfied with the customer service/technical support."
"We have complete control over our data."
"It is a stable solution...It is a scalable solution."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"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."
"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."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"Helps us to achieve large-scale analytics."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It needs more compatibility with common BI tools."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like to see better visualization features."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"This solution would be improved with an option for in-memory data analysis."
"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."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
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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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