"I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works."
"The most important feature for me is the integration with PolyBase."
"We have found that it is easy to develop and to do the analytics in the modules of data."
"We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
"The pricing seems to be quite fair."
"The speed is great and the architecture is excellent."
"I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics."
"They are very reliable and cost-effective."
"The performance and scalability are awesome."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"The solution integrates well with Power BI."
"Self-patching and runs machine-learning across its logs all the time"
"The analytics have been very good. We've found them to be quite useful."
"The performance and data consistency need to be improved."
"The performance needs to improve in future releases."
"It could be more stable."
"More integration is needed to improve the product for the future."
"I am a researcher. For people to be able to research a solution, there should be at least a free trial. Just advertising a product or saying that this product is better doesn't work. I would strongly recommend providing a lot of free trials and trainings. This will also help Microsoft in having more users or customers. Oracle provides some free trials. You can just go for a free trial and use your database online, which is very good."
"Its stability is an issue. They have been releasing a version every six months to one year, which means that there are many versions available, and clients are not up to speed on the latest one that they're offering. From a stability point of view, they could do better. They're still upgrading their Synapse Analytics workspace, and it is not that stable. Its scalability can also be better."
"Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory."
"Could have more connectors and better integration for Hadoop."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"The initial setup was pretty complex. It was not easy."
"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."
"Ease of connectivity could be improved."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.
Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.
Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 33 reviews while Oracle Autonomous Data Warehouse is ranked 6th in Cloud Data Warehouse with 6 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while Oracle Autonomous Data Warehouse is rated 8.6. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Apache Hadoop and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Oracle Exadata, Amazon Redshift, Teradata and Apache Hadoop. See our Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse report.
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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.