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 integrates beautifully with other Microsoft ecosystem products."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"We have complete control over our data."
"Data collection and reporting are valuable features of the solution."
"It is not a pricey product compared to other data warehouse solutions."
"It performs very well overall."
"It is a stable solution...It is a scalable solution."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Helps us to achieve large-scale analytics."
"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."
"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."
"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."
"Very fast for query processing."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"I think that the error messages need to be made more specific."
"The product does not have all of the features that the native products have."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"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."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"They need to incorporate a machine learning engine."
"More tools to help designers should be included."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Maintenance is time-consuming."
"Implementation takes a long time."
"The installation is difficult and should be made easier."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Extra filters would be helpful."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
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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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