vs

MongoDB vs SurrealDB

MongoDB: The default document database: flexible BSON documents, rich queries and built-in sharding. SurrealDB: Rust multi-model database (documents, graph, vectors, live queries) that runs embedded, in WASM or clustered.

key differences

  • MongoDB is built for larger datasets (≤ 1 PB) than SurrealDB (≤ 10 TB).
  • Horizontal scaling is native in MongoDB and addon in SurrealDB.
  • Only MongoDB has ttl / expiry, compression, encryption at rest.
  • Only SurrealDB has triggers, stored procedures, pub/sub, runs in webassembly.
  • SurrealDB can run embedded in your application process.

choose mongodb for

  • +Product catalogs with highly variable attributes
  • +Content management and user-generated content
  • +Mobile and web backends that evolve their schema weekly
  • +IoT and event data with time-series collections

best at · OLTP, Content, Metadata

choose surrealdb for

  • +Greenfield apps wanting one backend for documents and relationships
  • +Agent memory and knowledge graphs for AI applications
  • +Local-first or in-browser data with WASM
  • +Realtime collaborative features

best at · OLTP, Traversal, Vector search

overview
Primary model
Document
Document
Also supports
Search Engine, Vector, Time-Series, Spatial
Graph, Key-Value, Vector, Search Engine, Time-Series, Spatial
Type
Database engine
Database engine
Status
Active
Active
Developer
MongoDB, Inc.
SurrealDB Ltd
First release
2009
2022
Latest version
9.0.4 (Oct 14, 2026)
3.3.4 (Oct 19, 2026)
License
Source-availableServer Side Public License v1 (Community); commercial (Enterprise)
Source-availableBusiness Source License 1.1 (converts to Apache 2.0 after 4 years)
Free tier
✓
✓
popularity
WhichDB Score
80.5
28.8
Rank
#4
#94
GitHub stars
28.7K
33.2K
Stack Overflow questions
175.2K
111
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Medium (≤ 10 TB)
Horizontal scaling
Native
Addon
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Tunable, Causal
Strong
Schema
Flexible
Flexible
Architecture
Primary replica, Distributed, Client server
Single node, Embedded, Distributed, Client server, In memory
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
✓
Edge
—
✓
Clouds
AWS, Google Cloud, Azure
AWS, Google Cloud, Azure
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
✓
✓
Triggers
—
✓
Stored procedures
—
✓
Materialized views
✓
✓
TTL / expiry
✓
—
Pub/Sub
—
✓
Columnar storage
—
—
In-memory
✓
✓
Durable persistence
✓
✓
Compression
✓
—
Encryption at rest
✓
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
✓
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
✓
interfaces
Query languages
MongoDB Query API (MQL), Aggregation pipeline
SurrealQL, GraphQL
Client languages
C, C++, C#, Go, Java, Kotlin, JavaScript, PHP
Rust, JavaScript, Python, Go, Java, C#, PHP
Best for
OLTP, Content, Metadata, IoT
OLTP, Traversal, Vector search, RAG

MongoDB vs SurrealDB: FAQ

What is the difference between MongoDB and SurrealDB?

MongoDB: The default document database: flexible BSON documents, rich queries and built-in sharding. SurrealDB: Rust multi-model database (documents, graph, vectors, live queries) that runs embedded, in WASM or clustered. MongoDB is built for larger datasets (≤ 1 PB) than SurrealDB (≤ 10 TB). Horizontal scaling is native in MongoDB and addon in SurrealDB. Only MongoDB has ttl / expiry, compression, encryption at rest.

When should I choose MongoDB over SurrealDB?

Choose MongoDB for product catalogs with highly variable attributes; content management and user-generated content; and mobile and web backends that evolve their schema weekly. Choose SurrealDB for greenfield apps wanting one backend for documents and relationships; agent memory and knowledge graphs for AI applications; and local-first or in-browser data with WASM.

Is MongoDB or SurrealDB more popular?

MongoDB ranks #4 on the WhichDB Score (80.5/100) and SurrealDB ranks #94 (28.8/100). Popularity is not fit: check the requirements that matter for your project.

Are MongoDB and SurrealDB open source?

Not in the OSI sense. MongoDB is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Server Side Public License v1 (Community); commercial (Enterprise). Not in the OSI sense. SurrealDB is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Business Source License 1.1 (converts to Apache 2.0 after 4 years).