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.

Thank you Name Surname

Your submission has been received successfully. We’ll get back to you as soon as possible.

In the meantime, please check your email — we’ve sent you a confirmation.

Back to Homepage

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.

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.

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 evolution 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.

Schedule a Technical Consultation