Microsoft Azure Cosmos DB and MongoDB Atlas compete in the database solutions category. Cosmos DB has the upper hand due to its superior scalability, integration capabilities, and seamless API interactions.
Features: Microsoft Azure Cosmos DB offers scalability, integration with multiple storage models, and cloud-native benefits that reduce maintenance. Its flexibility across APIs allows developers to use familiar tools and paradigms, making it highly adaptable for various applications. MongoDB Atlas stands out with its user-friendly design, strong in-file data operations, and effective management of unstructured data. Its schema-less architecture and seamless scaling are notable advantages.
Room for Improvement: Cosmos DB users seek a more straightforward pricing model and improved documentation. They also desire better optimization tools and additional features to ease complex data queries. MongoDB Atlas users express a need for enhancing the UI application interface, streamlining import/export processes, and reducing costs. Better performance for complex queries and larger datasets is also sought after, alongside improved support options.
Ease of Deployment and Customer Service: Both platforms are deployable on public clouds. Cosmos DB has a higher rate of deployment in public cloud environments. It garners mixed responses in customer service, where some users note inconsistent quality. Atlas users report satisfaction with reliable support and beneficial community resources.
Pricing and ROI: Cosmos DB is seen as expensive but valuable due to operational efficiency, despite its complex RU-based pricing. MongoDB Atlas is cost-effective compared to on-premise solutions, though licensing and support costs are points of criticism. Both platforms have potential for cost optimization and effective return on investment by aligning configurations with application usage patterns.
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.
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.
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.
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.
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.
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.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
We must ensure data security remains the top priority.
You have to monitor the Request Units.
The dashboard could include more detailed RU descriptions, IOPS, and compute metrics.
Enhancing capabilities for data pipelines and visualization dashboards.
MongoDB Atlas should support containerization.
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.
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.
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.
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.
Product | Market Share (%) |
---|---|
MongoDB Atlas | 14.0% |
Microsoft Azure Cosmos DB | 3.4% |
Other | 82.6% |
Company Size | Count |
---|---|
Small Business | 31 |
Midsize Enterprise | 19 |
Large Enterprise | 55 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 10 |
Large Enterprise | 20 |
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.
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.
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