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."I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The solution's integration is good."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"It handles high volumes of data very well."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"Tools like the BI and SAS are excellent."
"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 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."
"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."
"It works very well with large database queries."
"The loading speed is very good."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"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."
"This solution would be improved with an option for in-memory data analysis."
"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."
"It needs more compatibility with common BI tools."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"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."
"The reporting for certain types of data needs to be improved."
"We'd like to see it be a bit more compatible with other solutions."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Initial setup is a little complex. It took around two weeks to deploy."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Extra filters would be helpful."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
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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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