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LanceDB vs SurrealDB
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | AI-native multimodal lakehouse unifying vector search, feature engineering, and model training in one table. | Open-source multi-model database unifying documents, graphs, vectors, and time-series data for AI apps. | |
| Category | |||
| Developer | LanceDB Inc. | SurrealDB | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Contact | Freemium | |
| Free Plan | No | No | |
| Free Trial | No | No | |
| Open Source | No | No | |
| Capabilities | |||
| API Access | No | No | |
| Features | • Unified vector search, curation, and training in one table • Multimodal storage (text, images, video, embeddings) • Hybrid vector + full-text search at 100K+ QPS • Git-like dataset versioning and rollback • Scales to 100B+ rows in a single table • Open-source Lance format; Cloud/Enterprise via contact | • Unified documents, graphs, vectors, and time-series storage • Agent Memory for persistent AI agent context • GraphRAG: graph traversal combined with vector search • ACID transactions with distributed architecture • SDKs for Rust, Go, TypeScript, and Python • Free, open-source self-serve tier plus enterprise options | |
| Tags | vector-databaseai-native-lakehousemultimodal-dataopen-sourceml-infrastructure | multi-model-databaseopen-sourcevector-databaseai-agent-memorygraphrag | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 5 | 8 | |
| Quality Score | 37/100 | 37/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | lancedb.com | surrealdb.com | |
| Social Links | 3 linked | 3 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | — | • Free to use | |
| Cons | • Pricing isn't publicly listed | — | |
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Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.
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