We performed a comparison between Microsoft Parallel Data Warehouse and Oracle Autonomous Data Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It handles high volumes of data very well."
"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."
"I am very satisfied with the customer service/technical support."
"Data collection and reporting are valuable features of the solution."
"The most valuable feature of this solution is performance."
"Tools like the BI and SAS are excellent."
"It is not a pricey product compared to other data warehouse solutions."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."
"A very good integration feature that restricts access to unauthorized people."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"The performance and scalability are awesome."
"It is a stable and scalable solution."
"Self-patching and runs machine-learning across its logs all the time"
"The solution is expensive and has room for improvement."
"They need to incorporate a machine learning engine."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The product does not have all of the features that the native products have."
"It could be made more user-friendly for business users which would increase the user base."
"It could offer more development across the solution."
"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."
"The query is slow if we don't optimize it."
"The solution lacks visibility options."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"A lot of the tools that were previously there have now been taken away."
"The installation process is complex. Oracle can make the installation process better."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"They should make the solution more user-friendly."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"The initial setup was pretty complex. It was not easy."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Amazon Redshift. See our Microsoft Parallel Data Warehouse vs. Oracle Autonomous Data Warehouse report.
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