We performed a comparison between Microsoft Parallel Data Warehouse and Oracle Big Data Appliance based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."We have complete control over our data."
"The data transmissions between the data models is the most valuable feature."
"Tools like the BI and SAS are excellent."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is a stable solution...It is a scalable solution."
"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."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature of this solution is performance."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
"We find the cost of the solution to be a little high."
"I think that the error messages need to be made more specific."
"We'd like to see it be a bit more compatible with other solutions."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"This solution would be improved with an option for in-memory data analysis."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The product does not have all of the features that the native products have."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Oracle Big Data Appliance 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 Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics.
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