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 solution's integration is good."
"Data collection and reporting are valuable features of the solution."
"It is not a pricey product compared to other data warehouse solutions."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable features are the performance and usability."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"The data transmissions between the data models is the most valuable feature."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"Very fast for query processing."
"A very good, open-source platform."
"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."
"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."
"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."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The solution is expensive and has room for improvement."
"The product must provide more frequent updates."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"We find the cost of the solution to be a little high."
"It could be made more user-friendly for business users which would increase the user base."
"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."
"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."
"Extra filters would be helpful."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Implementation takes a long time."
"Maintenance is time-consuming."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
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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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