Overview
MongoDB Atlas is the fully managed multi-cloud document database. Features flexible JSON schema models, Atlas Vector Search for AI RAG pipelines, global multi-cloud clusters (AWS, Azure, GCP), and automated backups.
Available On
WebMacosWindowsLinuxMobile AppDesktop AppAPI
Key Features
Flexible JSON Document Data Model
Atlas Vector Search for Generative AI Applications
Multi-Cloud Clusters Spanning AWS, GCP, and Azure Simultaneously
Automated Sharding & Zero-Downtime Scaling
Pros
- Document model allows rapid schema evolution without database migrations
- Atlas Vector Search runs on the same cluster as your transactional data
- Available across all 3 major hyperscale clouds
Cons
- Memory consumption requires adequate RAM provisioning for heavy workloads
- Complex relational aggregation pipelines have a learning curve
Pricing Plans
M0 FreeFREE
Free
- 512MB storage
- Shared RAM
- Atlas Vector Search preview
- No credit card required
Serverless (Flex)PAID
$9/mo
- Scales on demand
- Up to 1TB storage
- Pay only for operations performed
Dedicated (M10+)ENTERPRISE
$57/mo
- Dedicated RAM & CPU
- Multi-region replication
- Automated continuous backups
- VPC peering
User Reviews
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Integrations
Node.jsPythonAWSGoogle CloudAzurePrismaMongoose
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Quick Info
Websitewww.mongodb.com/atlas
CategoryDeveloper Tools
Team SizeENTERPRISE
ReleasedJanuary 15, 2023
Last UpdatedSeptember 20, 2026
Monthly Visits48.0M
API AvailableYes
Open SourceNo
Compare MongoDB Atlas
See how MongoDB Atlas stacks up against competitors side-by-side.
MongoDB Atlas vs SupabaseMongoDB Atlas vs FirebaseBuild Custom ComparisonAI Capabilities
Atlas Vector Search: semantic search, hybrid keyword and vector queries on operational data.
Best For
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