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."We have complete control over our data."
"We can store the data in a data lake for a very low cost."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"One of the most important features is the ease of using MS SQL."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"It is a stable solution...It is a scalable solution."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature is the business intelligence (BI) part of it."
"Helps us to achieve large-scale analytics."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"Very fast for query processing."
"The loading speed is very good."
"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."
"A very good, open-source platform."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"We'd like to see it be a bit more compatible with other solutions."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"More tools to help designers should be included."
"It needs more compatibility with common BI tools."
"We find the cost of the solution to be a little high."
"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."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"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 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."
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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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