"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"The most valuable feature is its scalability."
"This service can merge and integrate well with all databases."
"It's scalable because it's on the cloud."
"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"The feature that we find most useful is the ability to do analytics on the fly."
"Self-patching and runs machine-learning across its logs all the time"
"The performance and scalability are awesome."
"The solution integrates well with Power BI."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"Improvement could be made in the area of streaming data."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"Planting is the primary key enforcement that should be improved."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues."
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"This solution lacks integration with non-AWS sources."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"Ease of connectivity could be improved."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"The initial setup was pretty complex. It was not easy."
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Amazon Redshift is ranked 4th in Cloud Data Warehouse with 15 reviews while Oracle Autonomous Data Warehouse is ranked 9th in Cloud Data Warehouse with 4 reviews. Amazon Redshift is rated 7.6, while Oracle Autonomous Data Warehouse is rated 9.0. The top reviewer of Amazon Redshift writes "Quick to deploy, easy to use, and performs well, but ingesting data in realtime should be improved". 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". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Vertica and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, BigQuery and Azure Data Factory. See our Amazon Redshift vs. Oracle Autonomous Data Warehouse report.
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