MongoDB
A cloud-native document database that combines operational data, vector search, and elastic scaling for modern applications
- Vendor
- MongoDB Inc.
- Also known as
- mongo
Available worldwide
What is MongoDB?
MongoDB is a fully managed cloud database that uses flexible document-based storage and supports complex queries, analytics, and advanced search capabilities including vector and full-text search functionality.
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 (512MB), Flex from $8–$30/month, Dedicated from $56.94/month
Free (M0)
FreeFully managed free-forever tier for learning and pre-production workloads
- storage
- 512MB
- sort_memory
- 32MB
- operations_per_second
- 100
- 512MB storage
- 32MB sort memory
- 100 ops/sec
- shared vCPUs
- replica set
Flex Clusters
Usage-based pricing for variable workloads
- hourly billing
- monthly invoices
Dedicated Clusters
High-performance dedicated infrastructure for production workloads
- dedicated resources
- auto-scaling
- horizontal scaling via sharding
Add-ons
- Atlas Search and Vector Search Add-on$25/mo
- MongoDB Search and Vector Search Add-on (Enterprise clusters)$9/mo + $25/mo
- Extended Lifecycle Support (ELS)$9/mo + $25/mo
- Atlas SQL Interface (Dedicated Cluster)
- Atlas SQL Interface (Data Federation)$5 per TB
- Atlas Data Federation
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
- Tunable
- 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
- macOS
- Web
- Linux
- Windows
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (12)
Independently observed- Google Vertex AI⇄•
- Google Cloud BigQuery⇄•
- Google Cloud Datastream←•
- Google Cloud Functions•
- Kubernetes•
- Vertex AI
- BigQuery
- Datastream
- Google Kubernetes Engine
- Looker
- Apigee
- Apache Kafka
Security & compliance
Independently observed- SOC 2active
- ISO/IEC 27001:2022active
- ISO/IEC 27017:2015active
- ISO/IEC 27018:2019active
- ISO 9001:2015active
- PCI DSSactive
- HIPAAactive
- HITRUSTactive
- GDPRactive
- FedRAMP Moderate Authorized · Moderateactive
- IRAPactive
- TX-RAMPactive
- TISAXactive
- CSA STARactive
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
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.
- Amazon DynamoDBManaged NoSQL database that scales automatically with fast response times and minimal operational overheadmedium · 73%
- Google Firestorelow · 41%
- ScyllaDBA NoSQL database designed for rapid, high-volume data access in AI applicationslow · 45%
- Azure Cosmos DBA fully managed, serverless NoSQL vector database for building AI-powered applications with low-latency performance and automatic scaling.low · 31%
- RavenDBA NoSQL system that self-optimizes performance, eliminating manual database tuning requirementsmedium · 63%
- Apache CassandraOpen-source database for high-volume, distributed data storage across multiple geographic locationslow · 40%
Compare MongoDB
Side by side against other nosql databases, attribute by attribute, with a source on every value.
The vioscaleAI 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 |
|---|---|---|---|---|
| Developer Q&A activity | 93 | 0.14 | 12.6 | ✓ |
| Security posture | 100 | 0.12 | 12.2 | ✓ |
| Capabilities | 96 | 0.10 | 9.5 | ✓ |
| Development activity | 63 | 0.14 | 8.5 | ✓ |
| Reliability | 100 | 0.07 | 6.8 | ✓ |
| Release cadence | 83 | 0.08 | 6.8 | ✓ |
| Pricing transparency | 100 | 0.05 | 5.4 | ✓ |
| Stars | 84 | 0.05 | 4.0 | ✓ |
| Security score | 48 | 0.05 | 2.6 | ✓ |
| Price level | 50 | 0.04 | 2.1 | ✓ |
| Integrations | 24 | 0.05 | 1.3 | ✓ |
| Dependent projects | 16 | 0.05 | 0.9 | ✓ |
| Package downloads | 0 | 0.04 | 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 · 2026-10-05 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | highsource · 2026-07-30 · 93% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Schema: schemaless · Hosting: both · Data model: document · Ttl expiry: Yes · Consistency: tunable · Replication: primary_secondary | mediumsource · 2026-10-05 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 6 | mediumsource · 2026-09-07 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C++ | highsource · 2026-10-05 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | SSPL-1.0 | highsource · 2026-07-30 · 90% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-05 · 75% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 30 | mediumsource · 2026-07-30 · 70% |
Reliability
Security
| Attribute | Value | Evidence |
|---|---|---|
| Soc2 | Yes | highsource · 2026-10-05 · 75% |
| Iso27001 | Yes | highsource · 2026-10-05 · 75% |
| Disclosure policy | Yes | mediumsource · 2026-08-14 · 60% |
| Gdpr | Yes | highsource · 2026-10-05 · 75% |
| Fedramp | Yes | highsource · 2026-10-05 · 75% |
| Hipaa | Yes | highsource · 2026-10-05 · 75% |
| Pci | Yes | highsource · 2026-10-05 · 75% |
| Scorecard | 4.8 | highsource · 2026-10-05 · 90% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=conda&package_name=mongodb&per_page=100 · Last 12m: 0 | highsource · 2026-10-05 · 90% |
| Certifications | SOC 2, ISO/IEC 27001:2022, ISO/IEC 27017:2015, ISO/IEC 27018:2019, ISO 9001:2015, PCI DSS +8 more | mediumsource · 2026-10-05 · 60% |
| Trust center | https://www.mongodb.com/products/platform/trust | mediumsource · 2026-10-05 · 60% |
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