Vector search for AWS: Turn your S3 bucket into a vector database.
Already on AWS? LanceDB runs natively on S3 with compute-storage separation. No separate cluster. Your data stays in your bucket, at object storage prices.
Tomorrow's AI is being built on LanceDB today
Skip the OpenSearch cluster
OpenSearch is a cluster you provision, manage, and pay for by the hour. LanceDB queries vectors directly from S3 — no nodes to manage, no capacity planning. Native full-text and hybrid search without a separate search engine.
| OpenSearch | LanceDB | |
|---|---|---|
| Cost | Cluster-based hourly pricing | S3 storage rates. Up to 100x savings. |
| Operations | Provision and manage nodes | Stateless compute. S3 handles durability. |
| Search | Full-text and vector as separate features | Native vector + full-text + SQL hybrid in one query. |
| Data location | Separate from your data lake | Your data stays in S3. |
| Best for | Full Elasticsearch feature set | Vector search at object storage cost. |
Own your index, not just your prompts
Bedrock is convenient for quick RAG. But your vectors live in Amazon's black box. LanceDB gives you the same S3-native experience with full control over your index and native hybrid search.
| Bedrock Knowledge Bases | LanceDB | |
|---|---|---|
| Control | Managed, opaque | Open format, full visibility. |
| Portability | Bedrock-only access | Query from anywhere. |
| Search | Bedrock-managed retrieval | Native vector + full-text + SQL hybrid in one query. |
| Customization | Limited tuning options | Full control over indexing and schema evolution. |
| Best for | Quick RAG prototypes | Production vector infra you own. |
Stop gluing Lambda to DynamoDB for vectors
DynamoDB is great for key-value. But bolting vector search onto it means Lambda functions, secondary indexes, and sync headaches. LanceDB gives you vectors, full-text, and metadata in one table on S3.
| DynamoDB + vector workarounds | LanceDB | |
|---|---|---|
| Architecture | Key-value with vector hacks | Native vector + full-text search. |
| Integration | Lambda glue code required | Direct queries with SQL + vector + full-text. |
| Data model | Multiple services to sync | One table, one format, schema evolutoin built in. |
| Best for | Key-value with light vector needs | Vector-first workloads on AWS. |
Talk to Engineering
Or try LanceDB OSS — same code, scales to Cloud.