Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS).
In Bangladesh, digital banking is becoming prominent within a couple of years, so all banking systems will be digital.
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.
I would rate the support from AWS very high, maybe nine, but it also depends on what kind of support you have signed in your contract, whether the premium support or the standard support.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
For premium support, I would rate the support of MongoDB Atlas a nine.
Oracle provides expert support globally, not just in South Asia -- also in Europe and America.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
The installation of Amazon RDS is quite easy and quite scalable.
Despite being a strong feature, scalability could be improved due to the lack of full functionality in autoscaling.
It's very much scalable, and I would rate scalability a nine.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
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.
Amazon RDS is quite stable, and the SLAs are sort of 99.98%.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
The solution is stable, resilient, and doesn't crash under pressure.
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.
Enhancing capabilities for data pipelines and visualization dashboards.
MongoDB Atlas should support containerization.
With the advent of generative AI, adding functionality where current administrative activities could be automated would be beneficial.
It would be beneficial if Oracle could offer features similar to those provided by open-source platforms like Postgres, such as a multi-core-based platform and a shared node database.
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.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
Prices are high.
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.
In some cases, we are using the read replica feature, and it does improve our application performance because we do not allow any downstream system to come to the main storage or main databases and perform a query.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
The encryption level, resilience, and secure features from both clients, particularly the resilience aspect of Oracle Database, are highly valuable.
The valuable features include availability, agility, and scalability.
Product | Market Share (%) |
---|---|
Amazon RDS | 19.1% |
MongoDB Atlas | 14.0% |
Oracle Database as a Service | 7.8% |
Other | 59.1% |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 14 |
Large Enterprise | 23 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 10 |
Large Enterprise | 20 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 18 |
Large Enterprise | 31 |
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.
MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.
MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.
What are the key features of MongoDB Atlas?
What benefits should you consider in a solution like MongoDB Atlas?
In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.
Oracle Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases.