Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. This scalable service offers you the durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64 TB without any impact to your application. DocumentDB supports millions of requests per second with up to 15 low latency read replicas in minutes, without any application downtime, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your self-managed MongoDB databases to Amazon DocumentDB with virtually no downtime.


Amazon DocumentDB is compatible with MongoDB 3.6 and 4.0 drivers and tools. A vast majority of the applications, drivers, and tools that customers already use today with their open-source MongoDB non-relational database can be used with Amazon DocumentDB. Amazon DocumentDB emulates the responses that a client expects from a MongoDB server by implementing the Apache 2.0 open source MongoDB 3.6 and 4.0 APIs on a purpose-built, distributed, fault-tolerant, and self-healing storage system that gives customers the performance, scalability, and availability they need when operating mission-critical MongoDB workloads at scale. Learn more about supported MongoDB APIs.

Geospatial Query Capabilities

With the launch of Geospatial query capabilities, customers can Amazon DocumentDB supports storing, querying and indexing Geospatial data. Customers can create 2dsphere indexes and use popular MongoDB geospatial APIs such as $nearSphere, $geoNear, $minDistance, $maxDistance to perform queries stored on data stored DocumentDB.

ACID Transactions

ACID (atomicity, consistency, isolation, durability) is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps. With the launch of support for MongoDB 4.0 compatibility, Amazon DocumentDB supports the ability to perform ACID transactions across multiple documents, statements, collections, and databases.

Migration support

Customers can easily migrate their MongoDB databases on-premises or on Amazon Elastic Compute Cloud (EC2) to Amazon DocumentDB for free (for six months per instance) with virtually no downtime using the AWS Database Migration Service (DMS). With DMS, you can migration from a MongoDB replica set or from a sharded cluster to Amazon DocumentDB. For more information about migrating both relational and non-relational databases to Amazon DocumentDB, see Migrating to Amazon DocumentDB.

Fully Managed

Automatic Provisioning and setup

Getting started with Amazon DocumentDB is easy. Just launch a new Amazon DocumentDB cluster using the AWS Management Console. Amazon DocumentDB instances are pre-configured with parameters and settings appropriate for the instance class you have selected. You can launch a cluster and connect your application within minutes without additional configuration.

Monitoring and Metrics

Amazon DocumentDB provides Amazon CloudWatch metrics for your cloud database instances. You can use the AWS Management Console to view over 40 key operational metrics for your cluster, including compute, memory, storage, query throughput, MongoDB opcounters, and active connections.

Automatic Software Patching

Amazon DocumentDB will keep your database up-to-date with the latest patches. You can control if and when your cluster is patched via Database Engine Version Management.

Performance at scale

High Throughput, Low Latency for Document Queries

Amazon DocumentDB has a flexible JSON document model, data types, and efficient indexing. The service uses a scale-up, in-memory optimized architecture to allow for fast query evaluation over large documents sets.

Easy Scaling of Database Compute Resources

With a few clicks in the AWS Management Consoleyou can scale the compute and memory resources, up or down, by creating new replica instances of the desired size or by removing instances. Compute scaling operations typically complete in a few minutes.

Automatic Storage Scaling

Amazon DocumentDB will automatically grow the size of your storage volume as your cluster storage needs grow. Your storage volume will grow in increments of 10 GB up to a maximum of 64 TB. You don't need to provision excess storage for your NoSQL database to handle future growth.

Low Latency Read Replicas

Increase read throughput to support high volume application requests by creating up to 15 database read replicas. Amazon DocumentDB replicas share the same underlying storage as the source instance, lowering costs and avoiding the need to perform writes at the replica nodes. This frees up more processing power to serve read requests and reduces the replica lag time–often down to single digit milliseconds. Amazon DocumentDB also provides a single endpoint for read queries, so the application can connect without the need to keep track of replicas as they are added and removed.

Highly Secure and Compliant

Network Isolation

Amazon DocumentDB runs in Amazon Virtual Private Cloud (VPC), which allows you to isolate your cluster in your own virtual network and connect to your on-premises IT infrastructure using industry- standard encrypted IPsec virtual private networks (VPNs). In addition, using Amazon DocumentDB’s VPC configuration, you can configure firewall settings and control network access to your cluster.


Amazon DocumentDB supports role-based access control (RBAC) with built-in roles and defined roles. RBAC enables you to enforce least privilege as a best practice by restricting the actions that users are authorized to perform. Amazon DocumentDB is integrated with AWS Identity and Access Management (IAM) and provides you the ability to control the actions that your AWS IAM users and groups can take on specific Amazon DocumentDB resources, including clusters, instances, snapshots, and parameter groups. In addition, you can tag your Amazon DocumentDB resources, and control the actions that your IAM users and groups can take on groups of resources that have the same tag (and tag value).


Amazon DocumentDB allows you to encrypt your databases using keys you create and control through AWS Key Management Service (KMS). On a cluster running with Amazon DocumentDB encryption, data stored at rest in the underlying storage is encrypted, as are the automated backups, snapshots, and replicas in the same cluster. By default, connections between a client and Amazon DocumentDB are encrypted-in-transit with TLS.

Compliance Certifications

Amazon DocumentDB was designed to meet the highest security standards and to make it easy for you to verify our security and meet your own regulatory and compliance obligations. Amazon DocumentDB has been assessed to comply with PCI DSS, ISO 9001, 27001, 27017, and 27018, SOC 1, 2 and 3and Health Information Trust Alliance Common Security Framework certification (HITRUST CSF), in addition to being HIPAA eligible.

Highly Available

Global Clusters

Amazon DocumentDB Global Clusters provides disaster recovery from region-wide outages and enables low-latency global reads. Amazon DocumentDB Global Clusters replicates your data to clusters in up to 5 AWS regions with little to no impact on performance, with a typical lag of less than one second. Learn more about setting up Global Clusters in the Amazon DocumentDB user guide.

Instance Monitoring and Repair

The health of your Amazon DocumentDB cluster and its instances are continuously monitored. If the instance powering your database fails, the instance and associated processes are automatically restarted. Amazon DocumentDB recovery does not require the potentially lengthy replay of database redo logs, so your instance restart times are typically 30 seconds or less. It also isolates the database cache from database processes, allowing the cache to survive a database restart.

Multi-AZ Deployments with Read Replicas

On instance failure, Amazon DocumentDB automates failover to one of up to 15 Amazon DocumentDB replicas you have created in any of three Availability Zones. If no Amazon DocumentDB replicas have been provisioned, in the case of a failure, Amazon DocumentDB will attempt to create a new instance for you automatically.

Fault-tolerant and Self-healing Storage

Each 10 GB portion of your storage volume is replicated six ways, across three Availability Zones (AZs). Amazon DocumentDB uses fault-tolerant storage that transparently handles the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon DocumentDB’s storage is also self-healing; data blocks and disks are continuously scanned for errors and replaced automatically.

Automatic, Continuous, Incremental Backups and Point-in-time Restore

Amazon DocumentDB's simple database backup capability enables point-in-time recovery for your clusters. This allows you to restore your cluster to any second during your retention period, up until the last five minutes. Your automatic backup retention period can be configured up to thirty-five days. Automated backups are stored in Amazon Simple Storage Service (Amazon S3), which is designed for 99.999999999% durability. Amazon DocumentDB backups are automatic, incremental, and continuous and have no impact on cluster performance.

Cluster Snapshots

Cluster snapshots are user-initiated backups of your cluster stored in Amazon S3 that will be kept until you explicitly delete them. They leverage the automated incremental snapshots to reduce the time and storage required. You can create a new cluster from a Cluster Snapshot whenever you desire.

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