"The pricing seems to be quite fair."
"They are very reliable and cost-effective."
"The useability, the user interface, is very user-friendly."
"The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services."
"The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
"The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit."
"The stability is pretty good."
"Fills the gap between big data and classic data warehouses."
"The solution integrates well with Power BI."
"The analytics have been very good. We've found them to be quite useful."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"The performance and scalability are awesome."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"Self-patching and runs machine-learning across its logs all the time"
"The product could be more feature-rich."
"It's a complicated product."
"If I'm looking for something good in the cloud, I would want it to have better standard connectors."
"Comes with a pretty steep learning curve."
"Right now, we are really struggling with the performance. it's not as good as we had hoped."
"Integration with other products is an area that can be improved."
"Documentation could be improved."
"It would be beneficial to take the top vendors and identify some kind of straightforward action to work with them. Instead of having to employ a separate vendor tool to be able to move this, it would be nice to be able to go through Microsoft."
"The initial setup was pretty complex. It was not easy."
"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."
"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."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"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 34 reviews while Oracle Autonomous Data Warehouse is ranked 6th in Cloud Data Warehouse with 6 reviews. Microsoft Azure Synapse Analytics is rated 7.8, 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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