Available worldwide · Popular in: US
What is MongoDB?
MongoDB Atlas is an AI-ready cloud database platform supporting multi-cloud deployment across AWS, Google Cloud, and Azure. It provides document-based data storage with vector search, stream processing, integrated search, and SQL interfaces for building intelligent applications.
MongoDB pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier available. Usage-based hybrid pricing: serverless from $0.011/hour, dedicated from $0.08/hour ($56.94/month minimum).
Free
FreeFor learning and exploring MongoDB in a cloud environment
- ram
- Shared
- vcpu
- Shared
- storage
- 512 MB
- 512 MB storage
- Shared RAM
- Shared vCPU
- Automated failover
- 99.995% uptime SLA
- Multi-cloud deployment (AWS, GCP, Azure)
Atlas Flex
For application development and testing; resources and costs scale to your needs
- ram
- Shared
- vcpu
- Shared
- storage
- Up to 5 GB
- Up to 5 GB storage
- Shared RAM
- Shared vCPU
- Automated failover
- Multi-cloud deployment
Dedicated
For production applications with sophisticated workload requirements
- ram
- 2 GB
- vcpu
- 2 vCPUs
- storage
- 10 GB minimum
- 10 GB minimum storage, scales to 4 TB per node
- Horizontal scaling via sharding
- 2 GB RAM minimum, scales to 768 GB per node
- Up to 96 vCPUs per node
- Automated failover
- 99.995% uptime SLA
- Zero-downtime upgrades
Add-ons
- MongoDB Search
- MongoDB Vector Search
- Atlas Stream Processing
- Atlas Data Federation
- Atlas Charts
- Atlas SQL Interface
- Online Archive
- Support
What MongoDB does
The capabilities that matter for nosql databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Data model
- Document
- Query language
- MQL / document API
- Consistency
- -
- Transactions
- Multi-item ACID
- Secondary indexes
- Yes
- Partitioning / sharding
- Automatic
- Multi-region
- -
- Replication topology
- Primary-secondary
- Hosting
- Cloud + self-hosted
- Schema
- Schemaless
- TTL / auto-expiry
- -
- Change streams / CDC
- -
- Vector / search built-in
- ✓
- Licence class
- Source-available (SSPL/BSL)
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (2)
Independently observed- Kafka
- SQL-based tools
MongoDB FAQ
Common questions about MongoDB, answered from independent, dated evidence.
What is MongoDB and what type of database is it?
MongoDB is a document database that stores data in flexible, JSON-like formats rather than rigid relational tables. It is designed for modern application development and supports various workload types including operational transactions, real-time search, vector search for AI applications, and streaming data processing. The flexible schema allows applications to evolve without downtime or schema migrations.
Is MongoDB open source and what license does it use?
MongoDB is open source under the Server Side Public License (SSPL) v1.0, which requires that enhancements to MongoDB be shared with the community. Drivers are licensed under Apache License 2.0. MongoDB also offers a commercial license for organizations whose legal requirements are incompatible with SSPL, and a separately available MongoDB Enterprise Advanced edition.
What programming languages and frameworks does MongoDB support?
MongoDB provides official client libraries for almost all modern programming languages and is compatible with popular application frameworks. Common stacks include MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js). Developers can access language-specific API documentation and driver references for their chosen technology stack.
Source: https://www.mongodb.com/docs/
What deployment options are available for MongoDB?
MongoDB offers three deployment models: MongoDB Atlas, a fully managed cloud service available on AWS, Azure, and Google Cloud; MongoDB Enterprise Advanced for self-managed on-premises or private cloud deployments; and MongoDB Community Edition for open-source local development. Each option provides different levels of automation, support, and operational responsibility.
Source: https://www.mongodb.com
What is MongoDB's pricing model?
MongoDB Atlas operates on a pay-as-you-go model with a free-forever M0 tier (512 MB storage) for learning and exploration, flexible hourly clusters for development, and dedicated clusters starting around $57 per month for production workloads. Enterprise Advanced pricing is custom and available through direct sales. Costs vary based on cluster size, storage, data transfer, and optional add-on services like vector search and stream processing.
Source: https://www.mongodb.com/pricing
What enterprise security features does MongoDB provide?
MongoDB includes encryption at rest and in transit via TLS/SSL, multiple authentication methods (SCRAM, X.509, Kerberos, LDAP, OIDC), role-based access control, queryable encryption, client-side field-level encryption, IP access lists, and audit logging. MongoDB Atlas comes preconfigured with secure default settings and supports network peering and private endpoints across major cloud providers.
What are the main differences between MongoDB and traditional relational databases?
MongoDB uses flexible JSON-like documents instead of rigid table schemas, allowing data models to change without downtime. Embedded documents and arrays reduce the need for joins, which can improve query performance for certain workloads. The lack of enforced schemas supports polymorphic data structures where different documents in the same collection can have different fields, though this flexibility requires different application design patterns than relational databases.
Can MongoDB handle real-time analytics, vector search, and streaming data?
Yes, MongoDB is a unified platform that combines operational data, vectors, and streaming in a single system. It includes vector search for semantic queries and AI-powered applications, stream processing via Apache Kafka integration using familiar MongoDB syntax, and real-time analytics with aggregation pipelines. This consolidation of multiple workload types can be more efficient than managing separate specialized databases.
Source: https://www.mongodb.com
MongoDB alternatives
Other nosql databases we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for MongoDB, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Github Activity | 83 | 0.16 | 13.2 | ✓ |
| Security Posture | 65 | 0.16 | 10.4 | ✓ |
| Stackoverflow Activity | 93 | 0.10 | 9.3 | ✓ |
| Release Cadence | 83 | 0.10 | 8.3 | ✓ |
| Pricing Transparency | 100 | 0.08 | 8.0 | ✓ |
| Github Stars | 83 | 0.05 | 4.2 | ✓ |
| Integrations | 9 | 0.08 | 0.7 | ✓ |
| Reliability | 0 | 0.05 | 0.0 | - |
| Docs Quality | 0 | 0.06 | 0.0 | - |
| Package Downloads | 0 | 0.16 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-08-01 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | [{"answer":"MongoDB is a document database that stores data in flexible, JSON-like formats rather than rigid relational tables. It is designed for modern application development and supports various workload types including operational transactions, real-time search, vector search for AI applications, and streaming data processing. The flexible schema allows applications to evolve without downtime or schema migrations.","source":"https://www.mongodb.com/docs/manual/introduction/","question":"What is MongoDB and what type of database is it?","confidence":0.95},{"answer":"MongoDB is open source under the Server Side Public License (SSPL) v1.0, which requires that enhancements to MongoDB be shared with the community. Drivers are licensed under Apache License 2.0. MongoDB also offers a commercial license for organizations whose legal requirements are incompatible with SSPL, and a separately available MongoDB Enterprise Advanced edition.","source":"https://www.mongodb.com/community/licensing","question":"Is MongoDB open source and what license does it use?","confidence":0.95},{"answer":"MongoDB provides official client libraries for almost all modern programming languages and is compatible with popular application frameworks. Common stacks include MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js). Developers can access language-specific API documentation and driver references for their chosen technology stack.","source":"https://www.mongodb.com/docs/","question":"What programming languages and frameworks does MongoDB support?","confidence":0.92},{"answer":"MongoDB offers three deployment models: MongoDB Atlas, a fully managed cloud service available on AWS, Azure, and Google Cloud; MongoDB Enterprise Advanced for self-managed on-premises or private cloud deployments; and MongoDB Community Edition for open-source local development. Each option provides different levels of automation, support, and operational responsibility.","source":"https://www.mongodb.com","question":"What deployment options are available for MongoDB?","confidence":0.93},{"answer":"MongoDB Atlas operates on a pay-as-you-go model with a free-forever M0 tier (512 MB storage) for learning and exploration, flexible hourly clusters for development, and dedicated clusters starting around $57 per month for production workloads. Enterprise Advanced pricing is custom and available through direct sales. Costs vary based on cluster size, storage, data transfer, and optional add-on services like vector search and stream processing.","source":"https://www.mongodb.com/pricing","question":"What is MongoDB's pricing model?","confidence":0.9},{"answer":"MongoDB includes encryption at rest and in transit via TLS/SSL, multiple authentication methods (SCRAM, X.509, Kerberos, LDAP, OIDC), role-based access control, queryable encryption, client-side field-level encryption, IP access lists, and audit logging. MongoDB Atlas comes preconfigured with secure default settings and supports network peering and private endpoints across major cloud providers.","source":"https://www.mongodb.com/docs/manual/security/","question":"What enterprise security features does MongoDB provide?","confidence":0.92},{"answer":"MongoDB uses flexible JSON-like documents instead of rigid table schemas, allowing data models to change without downtime. Embedded documents and arrays reduce the need for joins, which can improve query performance for certain workloads. The lack of enforced schemas supports polymorphic data structures where different documents in the same collection can have different fields, though this flexibility requires different application design patterns than relational databases.","source":"https://www.mongodb.com/docs/manual/introduction/","question":"What are the main differences between MongoDB and traditional relational databases?","confidence":0.93},{"answer":"Yes, MongoDB is a unified platform that combines operational data, vectors, and streaming in a single system. It includes vector search for semantic queries and AI-powered applications, stream processing via Apache Kafka integration using familiar MongoDB syntax, and real-time analytics with aggregation pipelines. This consolidation of multiple workload types can be more efficient than managing separate specialized databases.","source":"https://www.mongodb.com","question":"Can MongoDB handle real-time analytics, vector search, and streaming data?","confidence":0.91}] | highsource · 2026-07-30 · 93% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"schema":"schemaless","hosting":"both","data_model":"document","replication":"primary_secondary","partitioning":"automatic","transactions":"multi_item_acid","license_class":"source_available","vector_search":true,"query_language":"mql","secondary_indexes":"yes"} | mediumsource · 2026-08-05 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-01 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C++ | highsource · 2026-08-01 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | SSPL-1.0 | highsource · 2026-07-30 · 90% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | {"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]} | mediumsource · 2026-08-05 · 50% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 30 | mediumsource · 2026-07-30 · 70% |