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."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."
"We can store the data in a data lake for a very low cost."
"It handles high volumes of data very well."
"Tools like the BI and SAS are excellent."
"It performs very well overall."
"The data transmissions between the data models is the most valuable feature."
"Data collection and reporting are valuable features of the solution."
"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."
"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."
"A very good, open-source 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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"Helps us to achieve large-scale analytics."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"The query is slow if we don't optimize it."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The product does not have all of the features that the native products have."
"We find the cost of the solution to be a little high."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"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."
"Extra filters would be helpful."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Tanzu Greenplum's compression for GPText could be made more efficient."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
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.
See our list of best Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.