Databaseopen-sourceTrending
SurrealDB
Multi-model database combining relational, document, graph, and time-series capabilities
Visit websiteTechnical Profile
Scalability
high
Performance
high
Learning Curve
moderate
Maturity
early
Languages: Rust
Architecture: multi-model, distributed, real-time
When to Use
- +Need multiple data models
- +Real-time features
- +Rapid development
When Not to Use
- -Production-critical systems
- -Proven tech required
- -Large enterprise
Strengths
- Multi-model
- Real-time queries
- Built-in auth
- SurrealQL
- 25k+ stars
Weaknesses
- Young project
- Limited production use
- Evolving API
Operations
Maintenance
medium
Monitoring
medium
Backup/Recovery
moderate
Hosting: self-hosted, cloud
Quick Facts
- Category
- Database
- License
- open source
- Pricing
- freemium (free tier)
- Community
- medium
- Docs Quality
- good
- Trend
- rapidly growing
- Vendor Lock-in
- medium
- Data Portability
- moderate
Compliance
GDPR
HIPAA
SOC 2
PCI-DSS
Encryption
Audit Logs
RBAC
MFA
Best For
startupsmallmedium
Use Cases
- Real-time apps
- Multi-model needs
- Rapid prototyping
- Serverless
Alternatives to SurrealDB
Amazon DynamoDB
Fully managed NoSQL database with millisecond latency at any scale
commercialmature
Apache Cassandra
Highly scalable distributed NoSQL database for handling large amounts of data
open-sourcemature
Apache CouchDB
Document-oriented NoSQL database with focus on ease of use and multi-master replication
open-sourcemature
ChartDB
Visual database design and diagramming tool with instant schema generation
open-sourcestable
ClickHouse
Open-source column-oriented OLAP database for real-time analytics on large datasets
open-sourcemature
CockroachDB
Distributed SQL database built for cloud applications with global scale
open-sourcestable
Deciding on SurrealDB?
Accounts are opening soon. Save comparisons like this one, keep your tool results, and get your invite before the public launch. One email, nothing else.
Evaluating SurrealDB for your stack?