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Atlas Data Lake reformats and partitions data as it is ingested from Atlas databases, creating a highly performant companion data lake. Atlas features built-in data federation capabilities that allow teams to create virtual databases and work with data that resides in different sources. Development teams can query, transform, or create views across multiple collections, MongoDB Atlas clusters, and cloud storage buckets.

Now available in preview, the Atlas SQL Interface provides an intuitive, read-only interface for analysts to interact with Atlas data. Plus, analyze data across Atlas clusters and cloud object stores using SQL — no need for data manipulation, schema definition, or data flattening. Serverless databases are now generally available. Support a wide range of application requirements with little to no initial configuration or ongoing capacity management.

Take advantage of the ability to scale up or down from zero and to deploy in all three major clouds. Atlas Serverless instances also feature tiered pricing, which automatically reduces costs without upfront commitments. Cluster-to-Cluster Sync allows you to easily migrate data to the cloud, create separate test and dedicated analytics environments, and support data residency requirements.

Atlas Device Sync connects Atlas databases to Realm, the popular database for mobile and edge devices. A new, flexible sync capability, now generally available, grants granular control over the data synced to user applications, supporting intuitive, language-native queries and hierarchical permissions. This allows you to easily incorporate your data in situations where it might be difficult to embed a driver e.

Vercel is a popular platform for frontend frameworks and static sites. A new integration makes it easy to get started with MongoDB Atlas as your backend database. Using Vercel's Integrations Marketplace, you can now deploy new web experiences on Atlas with zero configuration and instantly start building with MongoDB. Queryable encryption, available in preview with MongoDB 6. This technology gives developers the ability to query encrypted sensitive data in a simple and intuitive way, with zero cryptography experience required.

Logs are encrypted to protect the integrity and confidentiality of events — and they remain encrypted even if they propagate through any security information and event management SIEM or central log management systems. General Information. By Industry. By Use Case. Developer Data Platform Innovate fast at scale with a unified developer experience. Learn More.

View All. Sign In Try Free. What's New. Now generally available, MongoDB 6. Learn more about MongoDB 6. Read the Blog. Support a wide spectrum of use cases.

These new capabilities allow teams to address more application use cases with a consistent developer experience and a more elegant data infrastructure. Time series collections. Archive: mongodb-linux-aarchenterprise-ubuntu Mongo Shell Package: mongodb-enterprise-shell Utilities Package: mongodb-enterprise-tools Archive: mongodb-linux-armenterprise-ubuntu General Information.

By Industry. By Use Case. Developer Data Platform Innovate fast at scale with a unified developer experience. Learn More. View All. Sign In Try Free. You can download installation packages below.

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Enterprise Server is included with the MongoDB Enterprise Advanced subscription, which includes expert assistance and powerful tools to overcome any challenges that you may encounter. Alternatively, the MongoDB Enterprise Server is also available free of charge for evaluation and development purposes.

Safely, securely, and seamlessly manage MongoDB in your own environment. Available through the MongoDB Enterprise Advanced subscription, Ops Manager eliminates operational overhead by automating key administration tasks such as deployment, upgrades, and more. 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.

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. General Information.

By Industry. By Use Case. Developer Data Platform Innovate fast at scale with a unified developer experience. The Community version of our distributed database offers a flexible document data model along with support for ad-hoc queries, secondary indexing, and real-time aggregations to provide powerful ways to access and analyze your data.

The database is also offered as a fully-managed service with MongoDB Atlas. Get access to advanced functionality such as auto-scaling, serverless instances in preview , full-text search, and data distribution across regions and clouds. Give it a try with a free, highly-available MB cluster. Kubernetes Operators are application-specific controllers that extend the Kubernetes API to create, configure, and manage instances of stateful applications such as databases.

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. General Information. By Industry. By Use Case. Developer Data Platform Innovate fast at scale with a unified developer experience. Learn More.

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