The Atlas Database is built on the document model that adapts as data evolves and workloads grow, delivering high performance, scalability, security, and granular control. Accelerate innovation with the document model MongoDB simplifies data management with its intuitive document model, mapping unique objects to distinct documents. MongoDB Atlas eliminates complexity with native support for full-text search, vector search, and stream processing. This empowers builders to adapt data models quickly—driving faster innovation and improved productivity. Scale apps with confidence Simplify scaling applications globally with the Atlas cloud database. Designed for distributed deployments, fault tolerance, and workload isolation, it supports multi-region and multi-cloud deployments in over 125+ regions across AWS, Azure, and Google Cloud. Explore two ways to deploy Atlas Choose between two Atlas deployment options. Atlas Core supports predictable workloads with dedicated resources. Atlas Infinite supports volatile, AI-scale workloads, with compute and storage scaling independently as demand and data grow. Explore both to find the right fit. Enterprise-grade security without complexity Enable enterprise-grade security to safeguard data and streamline compliance. With built-in access controls, encryption, and automatic updates, information is protected at every stage. Simplified compliance for data privacy and full visibility into activity empowers enterprises to focus on growing their business, knowing their data is secure. Build faster with documents that map to objects Create a cloud database in seconds using the Atlas UI, CLI, Kubernetes Operator, or an infrastructure-as-code (IaC) resource provider. Experiment with a free cluster, start building with a flex tier cluster, or customize a dedicated cluster configuration. The unified Query API empowers developers to efficiently harness modern data types. From arrays to geospatial data and time series, build modern workloads, including full-text and vector search or stream processing, all on a unified cloud database platform. Build queries with the MongoDB Shell, Compass, or directly in your preferred programming language. Create a cloud database in seconds using the Atlas UI, CLI, Kubernetes Operator, or an infrastructure-as-code (IaC) resource provider. Experiment with a free cluster, start building with a flex tier cluster, or customize a dedicated cluster configuration. The unified Query API empowers developers to efficiently harness modern data types. From arrays to geospatial data and time series, build modern workloads, including full-text and vector search or stream processing, all on a unified cloud database platform. Build queries with the MongoDB Shell, Compass, or directly in your preferred programming language. Atlas Database customer successes Start with Atlas Follow a step-by-step guide to get engineering teams started with MongoDB Atlas. Boost your MongoDB Atlas skills Explore MongoDB Atlas fundamentals, from the document model to indexing strategies, to ensure your application's success. Incorporate Atlas into your IDP Learn how MongoDB Atlas can be easily incorporated into an internal data platform using the tools your builders are already familiar with. Atlas Shared Responsibility Model Learn how security and operational responsibilities are shared between MongoDB and its customers in the Atlas Shared Responsibility Model. Atlas Database use cases Build AI-powered applications MongoDB delivers agile, real-time and secure capabilities essential for builders to create transformative AI-powered experiences. It’s architected for the new generation of modern applications. Ensure always-on, secure, and available payments MongoDB provides the scale, availability, and security needed for modern payment services. Modernize consumer experiences Make data work for your business and your customers with personalized, highly available, and real-time applications. What is the MongoDB Atlas database? MongoDB Atlas is a fully managed cloud database service that simplifies deploying, scaling, and managing MongoDB databases in the cloud. It eliminates infrastructure setup and database management by automating critical tasks such as provisioning, backups, scaling, and performance optimization. Atlas database supports multi-cloud deployments on AWS, Azure, and Google Cloud. This enables global scalability and resilience. Atlas is designed to ensure engineering teams focus on building and innovating applications rather than managing database infrastructure.

How does pricing work for Atlas Core and Atlas Infinite? MongoDB Atlas Core uses a flexible pay-as-you-go pricing model. This allows organizations to only pay for the resources they use. It offers three cluster tiers: Free Tier: Ideal for testing and exploring use cases, with no cost to get started. Flex Tier: Pay for what you use with granular billing for storage, compute, and IOPS, perfect for unpredictable workloads. Dedicated Tier: Fixed pricing for predictable, production-ready workloads. Auto-scaling ensures cost efficiency by dynamically adjusting resources based on workload demands, preventing overprovisioning or underutilization. Atlas Infinite uses consumption-based pricing: Compute is billed hourly and storage by the gigabytes consumed, so costs are driven by changing demand and data growth. How secure is MongoDB Atlas? MongoDB Atlas delivers enterprise-grade security out of the box. This ensures sensitive data is protected at every stage: Access control: Flexible role-based access controls and streamlined authentication ensure that only authorized users and applications can access data. Encryption: Data is encrypted at rest, in transit, and in use to prevent unauthorized access, with no cryptography expertise required. Automatic patches: Security patches are applied automatically, protecting deployments without operational disruption. Auditing: Granular auditing provides visibility into database activity to meet compliance and detect security issues. Regulatory compliance: Atlas supports multi-region clusters and is certified with over 15 compliance standards, helping meet data residency and privacy regulations for the most stringent compliance requirements. These features make Atlas a reliable choice for enterprises with stringent security and compliance needs. How easy is it to migrate to MongoDB Atlas? Migrating to MongoDB Atlas database is straightforward, with tools designed to simplify the process: Mongodump/mongorestore (compatible with all MongoDB versions): Used for legacy system migrations, cross-cloud transfers (e.g., AWS to Azure), and large dataset (>1TB) migrations. Mongoimport/mongoexport (compatibility: both tools need to be on the same version e.g. v100.9.0): Best for small datasets (<100GB) due to JSON/CSV conversion overhead. Atlas live migration service (compatible with Atlas v6.0.17+ or 7.0.13+): Enables seamless, live data migration from self-managed MongoDB without downtime. Relational Migrator (compatible with all Atlas versions): Use this free tool to migrate from legacy relational databases to MongoDB Atlas. It features intelligent algorithms and gen AI to automate the most complex aspects of migration including schema modeling, updating application code, and converting SQL queries, views, and stored procedures. Cluster-to-Cluster Sync (compatible with MongoDB 7.0+): Real-time hybrid cloud sync using Change Streams API. Supports filtered synchronization and 1:1 namespace mapping. Commonly used for disaster recovery and analytics mirroring. Atlas minimizes disruptions, allowing developers and engineering leaders to leverage its fully managed capabilities quickly. How does MongoDB Atlas ensure high availability and support disaster recovery? MongoDB Atlas database is designed for resilience. This ensures high availability and enables robust disaster recovery through: Distributed, self-healing deployments: Every deployment is a distributed three-node replica set. Automatic failover mechanisms ensure seamless continuity, including cross-region and cross-cloud failovers. Continuous backups: Automated backups with point-in-time recovery support stringent recovery point and time objectives (RPO and RTO). Multi-region, multi-cloud clusters: Data can be replicated across multiple regions and multiple cloud providers. This ensures resilience and compliance with data residency regulations. 99.995% Uptime SLA: Atlas guarantees high availability for production workloads with automated failovers. The data foundation for intelligent apps 125+ regions worldwide Vector search and full-text search Intelligent query generation Full-lifecycle encryption Languages, frameworks, and tools of your choice