Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The official AWS technical support for Amazon RDS is helpful, providing 24/7 assistance for all business support cases with tools such as the health dashboard and AWS trusted advisor.
The documentation is quite good.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
Despite being a strong feature, scalability could be improved due to the lack of full functionality in autoscaling.
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
It is a stable product overall, with very few issues.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
Redis is fairly stable.
Having native Change Data Capture (CDC) support would be beneficial, allowing for seamless integration with Kafka without relying on external technologies like Debezium.
Stability could be improved with pre-built infrastructure automation tools such as Ansible, which can reduce setup times significantly.
Improved data migration services would enable easier transitions to the cloud.
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
While Azure provides great services, long-term plans on AWS are 20% to 30% cheaper.
I find the pricing of Amazon RDS fair, as AWS operates on a pay-for-what-you-use model.
It's a reasonably high price for us.
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability.
Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS.
Amazon RDS makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers.
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.
Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker.
Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.
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