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."I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It is a stable solution...It is a scalable solution."
"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."
"One of the most important features is the ease of using MS SQL."
"The data transmissions between the data models is the most valuable feature."
"A very good, open-source platform."
"The product's feature of data transaction works fast."
"The most valuable feature is asynchronous calls, which are easy to configure."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"Helps us to achieve large-scale analytics."
"We use VMware RabbitMQ to transfer information from one point to another."
"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 solution is stable."
"I would like to see better visualization features."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The query is slow if we don't optimize it."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"If the database is large with a lot of columns then it is difficult to clean the data."
"They need to incorporate a machine learning engine."
"It needs more compatibility with common BI tools."
"This solution would be improved with an option for in-memory data analysis."
"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."
"Maintenance is time-consuming."
"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’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"The debugging capabilities and testing flexibilities need to be improved."
"The solution needs improvement on performance."
"If messages pile up until the space of the memory is full, then basically, the cluster goes down, and someone has to log in through the backend and purge all messages."
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Microsoft Parallel Data Warehouse is ranked 9th in Data Warehouse with 32 reviews while VMware Tanzu Data Services is ranked 5th 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, Anypoint MQ, Apache Kafka, Red Hat AMQ and ActiveMQ. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Services report.
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