MongoDB – The Developer Data Platform
MongoDB is built on the document model. We believe that the document model is the best way for software developers to work with data, as it is flexible and maps to how developers think and code. The document model is a superset of all other data models, which makes our database applicable to the broadest range of use cases.
In addition to the database offering, our developer data platform includes additional capabilities that allow developers to address a broader range of application requirements. Our platform’s integrated capabilities allow organizations to reduce the need for disparate, single-purpose data technologies, thereby lowering the cost and complexity of their application infrastructure. These complementary capabilities of our platform include search, time series, data lifecycle, application-driven analytics and mobile.
Our platform offers our customers access to industry-leading security, the ability to distribute data globally, as well as the freedom to run their applications anywhere. Our customers can self-manage their database using MongoDB Enterprise Advanced or consume our offering as a service on any major cloud provider using MongoDB Atlas, our hosted DBaaS (database-as-a-service) platform. Learn more here.
MongoDB For Building AI Enriched Applications
MongoDB provides the foundation for GenAI applications to thrive. It effortlessly handles diverse data like images, text, and sensor readings crucial for training complex models. MongoDB Atlas securely unifies operational, unstructured, and AI-related data to streamline building AI-enriched applications. Plus, its robust scalability tackles massive data volumes needed for large-scale deployments, and real-time data streaming keeps your AI models updated for faster insights and better performance. MongoDB removes friction from GenAI workflows and seamlessly integrates into popular AI frameworks. This not only accelerates development cycles but also simplifies the process by leveraging existing tools and expertise. MongoDB’s cloud-agnostic nature gives developers the flexibility and vendor independence to choose the platform that best suits their needs. You can read more about leveraging MongoDB’s AI use cases here.
MongoDB For Stringent Data Security Controls
MongoDB helps to protect sensitive data with strong security defaults on MongoDB’s developer data platform. MongoDB offers built-in security controls for all your data – with databases managed in a customer environment or MongoDB Atlas, a fully managed cloud service. MongoDB enables enterprise-grade security features and simplifies deploying and managing your databases. Read more about MongoDB’s security capabilities here.
To secure data on MongoDB you can implement the following:
- Authentication: Use mechanisms like SCRAM, X.509 certificates, or LDAP to control user access.
- Authorization: Implement role-based access control (RBAC) to define user permissions.
- Encryption: Encrypt data at rest and in transit using MongoDB’s built-in features.
- Network Security: Restrict database access with firewalls and IP bindings.
- Backup and Recovery: Regularly backup data and have a recovery plan in place.
- Auditing: Track access and changes to monitor and ensure compliance.
- Configuration: Secure configuration files and sensitive data.
- Patching: Keep MongoDB updated with the latest security patches.
