We performed a comparison between Microsoft Parallel Data Warehouse and VMware Tanzu Data Services 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 most valuable feature is the business intelligence (BI) part of it."
"It is a stable solution...It is a scalable solution."
"The most valuable features are the performance and usability."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It is not a pricey product compared to other data warehouse solutions."
"Data collection and reporting are valuable features of the solution."
"Tools like the BI and SAS are excellent."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."
"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."
"The most valuable feature is that it's really customizable."
"The most valuable feature for us is horizontal scaling."
"Very fast for query processing."
"The stability of this solution was very good."
"The product's reliability is the most valuable feature."
"The product's feature of data transaction works fast."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"This solution would be improved with an option for in-memory data analysis."
"It could be made more user-friendly for business users which would increase the user base."
"The product does not have all of the features that the native products have."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"If the database is large with a lot of columns then it is difficult to clean the data."
"More tools to help designers should be included."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The availability could be better."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"I was struggling with installing a few things. It would be good if was somewhat similar to RedHat. There should be more documentation regarding installation troubleshooting."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"VMware RabbitMQ's configuration process could be easier to understand."
"Maintenance is time-consuming."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
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Microsoft Parallel Data Warehouse is ranked 9th in Data Warehouse with 32 reviews while VMware Tanzu Data Services is ranked 6th in Data Warehouse with 81 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while VMware Tanzu Data Services is rated 8.0. 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 Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and Snowflake, whereas VMware Tanzu Data Services is most compared with IBM MQ, Apache Kafka, Anypoint MQ, ActiveMQ and Red Hat AMQ. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Services report.
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