MongoDB offers both an Enterprise and Community version of its powerful distributed document database. MongoDB Enterprise is available as part of the MongoDB Enterprise Advanced subscription, which features the most comprehensive support and the best SLA when you run MongoDB on your own infrastructure. MongoDB Enterprise Advanced also gives you comprehensive operational tooling, advanced analytics and data visualization, platform integrations and certification, along with on-demand training for your teams.
In-memory Storage Engine
Deliver high throughput and predictable low latency
Advanced Security
Secure your data with LDAP and Kerberos access controls and comprehensive auditing
Encrypted Storage Engine
Encrypt your data at rest
MongoDB offers both an Enterprise and Community version of its powerful distributed document database. The community version offers the flexible document model along with ad hoc queries, indexing, and real time aggregation to provide powerful ways to access and analyze your data. As a distributed system you get high availability through built-in replication and failover along with horizontal scalability with native sharding.
The MongoDB Enterprise Server gives you all of this and more. Review the Enterprise Server tab to learn what else is available.
Ops Manager incorporates the best practices we’ve learned from thousands of customer deployments in a comprehensive application that helps you manage MongoDB safely and reliably.
Ops Manager is available as part of the MongoDB Enterprise Advanced subscription, which features the most comprehensive support for MongoDB and the best SLA.
MongoDB’s consulting engineers can help you install and configure Ops Manager for optimal performance and reliability. Interested? Learn more.
Monitoring
Monitor, visualize, and alert on 100+ performance metrics
Backup
Capture continuous, incremental backups, with point-in-time recovery
Automation
Perform single-click installations, upgrades, and index maintenance, with zero downtime
Query Optimization
Seamlessly identify and address slow-running queries with the Visual Query Profiler, index suggestions, and automated index roll-outs
Kubernetes Operators are application-specific controllers that extend the Kubernetes API to create, configure, and manage instances of stateful applications such as databases. On self-managed infrastructure – whether on-premises or in the cloud – Kubernetes users can use the MongoDB Enterprise Operator for Kubernetes and MongoDB Ops Manager or Cloud Manager to automate and manage MongoDB clusters.
Using the MongoDB Kubernetes operator, you have full control over your MongoDB deployment from a single Kubernetes control plane, with a consistent experience across different deployment environments.
Kubernetes Operators are application-specific controllers that extend the Kubernetes API to create, configure, and manage instances of stateful applications such as databases. On self-managed infrastructure – whether on-premises or in the cloud – Kubernetes users can use the MongoDB Community Operator for Kubernetes and MongoDB Ops Manager or Cloud Manager to automate and manage MongoDB clusters.
Using the MongoDB Kubernetes operator, you have full control over your MongoDB deployment from a single Kubernetes control plane, with a consistent experience across different deployment environments.
Note: MongoDB Charts On-Premises will be end of life on September 1, 2021. If you’re currently using the on-premises version of Charts, there is no need for immediate action. We will continue to provide support, including releasing any important security fixes, until September 1, 2021. Additionally, we will provide a mechanism to assist with migrating on-premises dashboards to the cloud version of Charts.
MongoDB Charts is available and will continue to be available as a service within MongoDB CloudMongoDB Charts is the fastest and easiest way to create visualizations of MongoDB data. Connect to any MongoDB instance as a data source, create charts and graphs, build dashboards, share them with other users for collaboration or embed them in your app. Built for the document model, Charts handles complex data structures natively: nested documents, arrays, and more.