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 handles high volumes of data very well."
"It is not a pricey product compared to other data warehouse solutions."
"The solution's integration is good."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Data collection and reporting are valuable features of the solution."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature of this solution is performance."
"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 works very well with large database queries."
"The most valuable feature for us is horizontal scaling."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Pivotal Greenplum's shared-nothing architecture."
"It's super easy to deploy and it also supports different languages and analytics."
"Very fast for query processing."
"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 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."
"I would like the tool to support different operating systems."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could offer more development across the solution."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The solution is expensive and has room for improvement."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The installation is difficult and should be made easier."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"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."
"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."
"Maintenance is time-consuming."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
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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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