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 has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The solution's integration is good."
"The data transmissions between the data models is the most valuable feature."
"The solution has been reliable."
"The most valuable features are the performance and usability."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It handles high volumes of data very well."
"Tools like the BI and SAS are excellent."
"A very good, open-source platform."
"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."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"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."
"It could be made more user-friendly for business users which would increase the user base."
"We find the cost of the solution to be a little high."
"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."
"The product must provide more frequent updates."
"The product does not have all of the features that the native products have."
"I would like the tool to support different operating systems."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Extra filters would be helpful."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The installation is difficult and should be made easier."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Maintenance is time-consuming."
"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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
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.