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."
"The most valuable feature is the business intelligence (BI) part of it."
"The solution has been reliable."
"The solution's integration is good."
"It is a very stable database."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It performs very well overall."
"I am very satisfied with the customer service/technical support."
"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."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"The most valuable feature for us is horizontal scaling."
"Helps us to achieve large-scale analytics."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"We find the cost of the solution to be a little high."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"More tools to help designers should be included."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"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."
"It could be made more user-friendly for business users which would increase the user base."
"I would like to see better visualization features."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Extra filters would be helpful."
"The installation is difficult and should be made easier."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"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."
"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."
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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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