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."Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Data collection and reporting are valuable features of the solution."
"We can store the data in a data lake for a very low cost."
"The data transmissions between the data models is the most valuable feature."
"It is not a pricey product compared to other data warehouse solutions."
"It is a stable solution...It is a scalable solution."
"Very fast for query processing."
"A very good, open-source platform."
"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 most valuable feature for us is horizontal scaling."
"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 loading speed is very good."
"It's super easy to deploy and it also supports different languages and analytics."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The product must provide more frequent updates."
"This solution would be improved with an option for in-memory data analysis."
"It needs more compatibility with common BI tools."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"They need to incorporate a machine learning engine."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"Initial setup is a little complex. It took around two weeks to deploy."
"Implementation takes a long time."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"The installation is difficult and should be made easier."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
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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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