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."It is a stable solution...It is a scalable solution."
"Tools like the BI and SAS are excellent."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is not a pricey product compared to other data warehouse solutions."
"It handles high volumes of data very well."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The most valuable features are the performance and usability."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"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."
"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."
"The most valuable feature for us is horizontal scaling."
"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."
"It's super easy to deploy and it also supports different languages and 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."
"The loading speed is very good."
"We'd like to see it be a bit more compatible with other solutions."
"The product does not have all of the features that the native products have."
"They need to incorporate a machine learning engine."
"It needs more compatibility with common BI tools."
"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 solution is expensive and has room for improvement."
"This solution would be improved with an option for in-memory data analysis."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"Implementation takes a long time."
"Maintenance is time-consuming."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"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."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 6 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 "User-friendly UI and good support". 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, Oracle Database Appliance, Vertica and Apache Hadoop. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.
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