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SurrealDB review

Freemium#10 of 28 in Document DatabasesMultimodel DatabasesAi DatabasesNoSQL Databases+3 more

A flexible open-source database for applications spanning documents, graphs, and vectors.

8.2/10Editor score
SurrealDB8.2 Visit SurrealDB

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

SurrealDB is a Rust-based, open-source multi-model database for developers building modern applications. It brings document storage, graph relationships, vector search, full-text search, relational tables, time-series values, and geospatial values into one engine accessed through SurrealQL. Schemaless and schemafull modeling, nested objects and arrays, ACID transactions, and record- and field-level access controls make it suited to teams that want several data patterns without maintaining separate database systems.

Pricing follows a freemium structure. The Start plan provides one free instance, 1 GB of storage free forever, vertical scaling, automatic burst scaling, daily automated backups, and cloud RBAC and ABAC. The advertised paid entry price is $0.021 per hour. Scale costs $0.192 per node per hour and adds high availability, fault tolerance, multiple availability-zone deployment, horizontal scaling, multi-region disaster recovery, and object-storage-backed data. Enterprise adds self-hosted deployment, clustered fault-tolerant deployments, enterprise support, audit logging and compliance, FIPS-compliant cryptography, and distributed live queries.

Deployment flexibility is a central strength: SurrealDB can run embedded in applications, as a self-hosted server, across distributed clusters, or through SurrealDB Cloud. Interfaces include REST, GraphQL, RPC, and WebSocket, with JavaScript/TypeScript, Python, Rust, Go, and .NET SDKs. Vector search supports brute force, HNSW, and DISKANN indexes, while full-text search includes configurable analyzers and BM25 scoring. Choose SurrealDB when open-source deployment and multiple data models matter together. Teams seeking a narrowly focused database or simpler pricing may prefer a more specialized option.

SurrealDB pros and cons

  • Where it wins
    • Combines document, graph, vector, and relational capabilities
    • Supports embedded, self-hosted, distributed, and managed-cloud deployment
    • Offers REST, GraphQL, RPC, WebSocket, and SDK access
  • Where it doesn't
    • Scale billing is priced per node per hour
    • Its broad feature set may add architectural choices
    • Founded in 2021, it is newer than several alternatives

SurrealDB fact sheet, pricing and score →

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