Oracle Database as a Service and MongoDB Atlas compete in the cloud database management category. Oracle Database as a Service seems to have the upper hand due to its comprehensive feature set, strong integration with Oracle's ecosystem, and overall performance focus.
Features: Oracle Database as a Service focuses on multitenancy, performance, security, cloud capabilities, data management, and automated solutions. MongoDB Atlas provides a flexible, scalable NoSQL database with features like auto-scaling, schemaless architecture, strong integrations, and ease of use.
Room for Improvement: Oracle Database as a Service faces challenges with licensing complexity, cost, compatibility with non-Oracle systems, and needs improved management and integration capabilities. MongoDB Atlas could improve its user interface, data handling efficiency, and integration with other tools, plus address cost and advanced performance features.
Ease of Deployment and Customer Service: Oracle Database as a Service is known for hybrid cloud and on-premises flexibility, though setup can be complex. It provides robust support options but mixed reviews on support quality. MongoDB Atlas offers a streamlined deployment for public and hybrid cloud environments with efficient customer service, yet can struggle with complex setups.
Pricing and ROI: Oracle Database as a Service is seen as expensive with high upfront costs and complex licensing, offering cost-saving benefits through cloud services but possibly delaying ROI. MongoDB Atlas, with its pay-as-you-go model, is often more cost-effective, especially for smaller or cloud-native companies, providing better price-to-performance ratios despite occasional cost concerns.
In Bangladesh, digital banking is becoming prominent within a couple of years, so all banking systems will be digital.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
For premium support, I would rate the support of MongoDB Atlas a nine.
The technical solution and support are top-notch.
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.
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.
MongoDB Atlas should support containerization.
Enhancing vector processing for AI capabilities would also be critical.
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.
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.
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.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
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.
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?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.
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