

Find out in this report how the two Database Management Systems (DBMS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We have seen a return on investment; while we do not have the exact numbers, as it is saving our time and making our development easier, we can easily say the cost is being reduced.
I find it easy to use.
The issue was resolved efficiently.
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.
Most of the issues I encountered, like query performance or indexing, were handled internally through monitoring, optimization, and best practices.
It's very much scalable, and I would rate scalability a nine.
It supports both vertical scaling and horizontal scaling through sharding, where data is distributed across multiple nodes.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
Since it is a managed service, features like replication, automatic failover, and backups are handled by the platform.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
For multi-region deployment, CockroachDB requires at least three plus replicas across data centers to achieve strong consistency across regions, which increases infrastructure costs including compute, storage, and networking.
Enhancing capabilities for data pipelines and visualization dashboards.
MongoDB Atlas should support containerization.
The UI is good, although I have checked one aspect in MongoDB Atlas: when we make transactions, they do not process in real-time and require a refresh.
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.
CockroachDB's geo-distribution feature is superior to traditional databases.
MongoDB Atlas is a fully managed service, meaning it handles deployment, scaling, backup, patching, and maintenance automatically, which allows developers to focus more on application logic instead of infrastructure.
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.
| Product | Mindshare (%) |
|---|---|
| MongoDB Atlas | 4.2% |
| CockroachDB | 6.2% |
| Other | 89.6% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 11 |
| Large Enterprise | 22 |
CockroachDB is a high-performance, cloud-native database offering fault-tolerance, geo-partitioning, and PostgreSQL compatibility, ensuring distributed transactions with robust security for global applications.
CockroachDB offers advanced features like geo-replication and ensures data residency through its distributed architecture. This minimizes application modifications by supporting the PostgreSQL wire protocol while providing enhanced fault-tolerance. High availability is maintained through automatic node syncing and workload distribution. Security is prioritized with SSL certificates and role-based access control, facilitating ease of use and observability through an intuitive interface. Despite its capabilities, areas like documentation, disaster recovery, and high availability are improving, with an emphasis on enhanced protocol support and serverless offerings.
What are CockroachDB's key features?CockroachDB finds application across industries such as fintech and media, where distributed transactions and high availability are critical. It's ideal for platforms requiring real-time data processing, like credit scoring and music streaming, thanks to its scalability, resilience, and top-tier security.
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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