Weaviate alternative. Vector search that scales without the setup complexity.
Evaluating the Weaviate vector database? LanceDB runs on object storage with simpler deployment. Skip the complex configuration. Get to production faster.
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Tomorrow's AI is being built on LanceDB today
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Why teams switch
Compute-storage separation
Storage on S3/GCS/Azure Blob. Scale compute independently. No clusters sized for peak.
One table, not six systems
Raw data, embeddings, and features together. No sync jobs. No drift.
Schema evolution without rebuilds
New embedding model? Add a column. No re-indexing, no migrations, no downtime.
Full-text + hybrid search, native
Vector, full-text, and SQL queries in one system. No external search engine needed.
Comparison
Weaviate
LanceDB
Cost
Complex deployment model. Disk-backed performance requires cluster tuning.
Object storage with compute-storage separation. Up to 100x savings.
Scale
Schema-first design can be rigid for evolving workloads.
20 PB largest table. 20K+ QPS. Billions of vectors. Netflix, Uber in production.
Search
Vector + BM25 hybrid via modules.
Native vector, full-text, and SQL hybrid search in one query.
Data model
Schema-first — changes require careful planning.
Schema evolution - add columns without rewriting data.
Operations
K8s modules add deployment complexity.
Embedded to cloud-scale with minimal ops overhead.
Best for
Teams with K8s expertise and stable schemas.
Fast iteration, schema evolution, simpler ops, lower cost.
The Power of the Lance Format
Vector Search
- Fast scans and random access from the same table — no tradeoff
- Zero-copy access for high throughput without serialization overhead
Multi-Modal
- Raw data, embeddings, and metadata in one table — not pointers to blob storage
- No separate metadata store to keep in sync
Enterprise-Grade Requirements
Security
Granular RBAC, SSO integration, and VPC deployment options.
Governance
Data versioning and time-travel capabilities for auditability.
Support
Dedicated technical account management and guaranteed SLAs.
Talk to Engineering
Or try LanceDB OSS — same code, scales to Cloud.
Schedule a Technical Consultation