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."Data collection and reporting are valuable features of the solution."
"It handles high volumes of data very well."
"We have complete control over our data."
"It is a stable solution...It is a scalable solution."
"The data transmissions between the data models is the most valuable feature."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"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."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP 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."
"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."
"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."
"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."
"They need to incorporate a machine learning engine."
"If the database is large with a lot of columns then it is difficult to clean the data."
"We'd like to see it be a bit more compatible with other solutions."
"This solution would be improved with an option for in-memory data analysis."
"I would like the tool to support different operating systems."
"It needs more compatibility with common BI tools."
"It could offer more development across the solution."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Extra filters would be helpful."
"Initial setup is a little complex. It took around two weeks to deploy."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Implementation takes a long time."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"The installation is difficult and should be made easier."
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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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