Amazon RDS and Microsoft Azure Cosmos DB provide cloud database solutions with unique advantages. Azure Cosmos DB stands out for its global distribution and flexibility, making it a suitable choice for modern applications with diverse requirements.
Features: Amazon RDS supports multiple database engines including Aurora and MySQL, offering features like deployment agility and automated maintenance. It ensures high availability with a multi-availability zone feature. Microsoft Azure Cosmos DB excels in global distribution, multi-model NoSQL capabilities, and supports APIs such as SQL and MongoDB. It offers robust data models like key-value, graph, and document, enhancing its flexibility for various applications.
Room for Improvement: Amazon RDS is limited by a lack of shell access, making feature accessibility challenging for non-enterprise users. Microsoft Azure Cosmos DB faces high costs and pricing complexity, which could deter users. It also needs improvements in query functionalities and cross-container data handling for enhanced enterprise usability.
Ease of Deployment and Customer Service: Amazon RDS is primarily deployed in public cloud environments, and its customer service quality can vary based on service level. Azure Cosmos DB offers similar flexibility but might face inconsistent support. Both have comprehensive documentation, though timely support can sometimes be an issue.
Pricing and ROI: Amazon RDS offers competitive pay-as-you-go pricing with effective scaling, often ensuring a quick ROI. Azure Cosmos DB's costs are linked to resource consumption, but its high usage costs can impact ROI, despite offering value with extensive features.
Getting an MVP of that project would have taken six to eight months, but because we had an active choice of using Azure Cosmos DB and other related cloud-native services of Azure, we were able to get to an MVP stage in a matter of weeks, which is six weeks.
You can react quickly and trim down the specs, memory, RAM, storage size, etc. It can save about 20% of the costs.
When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.
The documentation is quite good.
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.
Premier Support has deteriorated compared to what it used to be, especially for small to medium-sized customers like ours.
The response was quick.
I would rate customer service and support a nine out of ten.
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.
The system scales up capacity when needed and scales down when not in use, preventing unnecessary expenses.
We like that it can auto-scale to demand, ensuring we only pay for what we use.
We have had no issues with its ability to search through large amounts of data.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
It is a stable product overall, with very few issues.
We have multiple availability zones, so nothing goes down.
Azure Cosmos DB would be a good choice if you have to deploy your application in a limited time frame and you want to auto-scale the database across different applications.
I would rate it a ten out of ten in terms of availability and latency.
Simplifying migration for those transitioning from on-premises to cloud environments.
Having native Change Data Capture (CDC) support would be beneficial, allowing for seamless integration with Kafka without relying on external technologies like Debezium.
Enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes.
We must ensure data security remains the top priority.
You have to monitor the Request Units.
The first one is the ability to assign role-based access control through the Azure portal for accounts to have contributor rights.
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.
I rate the price for Amazon as eight on a scale from one to ten.
Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective.
Cosmos DB is expensive, and the RU-based pricing model is confusing.
Cosmos DB is great compared to other databases because we can reduce the cost while doing the same things.
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.
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 makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers.
The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds.
Performance and security are valuable features, particularly when using Cosmos DB for MongoDB emulation and NoSQL.
The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search.
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.
Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.
Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.
What are the most important features of Microsoft Azure Cosmos DB?Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.
We monitor all Database as a Service (DBaaS) 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.