AI TOOL PROFILE

MongoDB Atlas | Managed Document Database

MongoDB Atlas helps software companies and engineering teams manage their data layer without manual infrastructure setup. It is designed for teams that need to scale applications across multiple cloud regions.

Pricing

Offers a free-forever tier for learning and a Flex tier for prototyping. Dedicated clusters for production workloads start at $56.94 per month.

At a glance

Best for
Software companies, Engineering teams, Developers, Enterprises needing multi-cloud resilience
Key use cases
AI Application Development, Global Application Scaling, Modernizing Legacy Databases, Handling Unpredictable Traffic
Integrations
AWS, Microsoft Azure, Google Cloud, HashiCorp Terraform, Kubernetes
Visit MongoDB AtlasMongoDB Atlas software interface screenshot

How AI is used

MongoDB Atlas is a fully managed cloud database service that handles the operational aspects of MongoDB deployments. It automates tasks such as provisioning, backups, and performance optimization, which may help engineering teams focus on application development rather than server management.

The service supports developers and software companies that use a flexible document model. It supports multi-cloud deployments across AWS, Azure, and Google Cloud in over 125 regions, which may help businesses maintain availability and meet data residency requirements.

Key capabilities include auto-scaling and integrated search tools. Buyers should confirm their specific workload requirements when choosing between the pay-as-you-go flex tiers and dedicated clusters to ensure the configuration matches their performance needs.

Key Features

  • Document data modeling

    Supports a flexible document model that maps data to objects in code.

  • Auto-scaling

    Adjusts cluster tier and storage based on real time CPU and memory utilization.

  • Multi-cloud deployment

    Supports database deployment across AWS, Azure, and Google Cloud in over 125 regions.

  • AI Vector Search

    Supports vector search for building AI-powered applications and retrieval-augmented generation (RAG).

  • Enterprise Security

    Includes built-in access controls, encryption at rest and in transit, and automatic security patches.

  • Full-text Search

    Provides native support for full-text search within the database platform.

  • Stream Processing

    Supports the processing of high-volume event data streams.

Use Cases

  • AI Application Development

    Using vector search to support retrieval-augmented generation (RAG) in AI-powered apps.

  • Global Application Scaling

    Deploying data across multiple cloud regions to support a global user base.

  • Modernizing Legacy Databases

    Migrating from relational databases using the Relational Migrator tool.

  • Handling Unpredictable Traffic

    Using the Flex tier for application development and testing with on-demand burst capacity.

Integrations

  • AWS
  • Microsoft Azure
  • Google Cloud
  • HashiCorp Terraform
  • Kubernetes

FAQ

Is there a free version of MongoDB Atlas?

Yes, the M0 free-forever tier includes 512 MB of storage and is intended for learning and exploring the platform.

How does the Flex tier differ from Dedicated clusters?

The Flex tier is a pay-as-you-go option for development and testing, while Dedicated clusters provide fixed resources for production-ready workloads.

Which cloud providers does MongoDB Atlas support?

MongoDB Atlas supports deployments on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

Source category: Software Development

Source subcategory: Database

More tools in Software Development

Other published listings in the Software Development category.

Browse all tools in Software Development

More tools in the Database software type

Related listings that share the same software type for comparison and shortlisting.

Browse all Database software type tools