Vector search without the RAM tax.

Redis, Upstash, Valkey — all RAM-bound. When your vectors outgrow memory, costs explode. RAM costs $3-5/GB/month. Object storage costs $0.02/GB/month. LanceDB delivers near-memory performance at object storage prices.

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Tomorrow's AI is being built on LanceDB today

Redis for caching. LanceDB for vectors.

Redis is brilliant at caching. But vectors aren't a caching workload — they're a storage workload. Stop paying RAM prices for data that should live on disk. And get native full-text + hybrid search that Redis doesn't offer.

Redis Stack / Redis Enterprise

LanceDB

Cost

RAM pricing - $3-5/GB/month. Scales linearly.

Object storage - $0.02/GB/month. Up to 100x savings.

Scale

Bounded by memory.

20 PB largest table. 20K+ QPS. Billions of vectors.

Vector search only. No native full-text.

Native vector + full-text + SQL hybrid in one query.

Architecture

In-memory, cache-first

Disk-native with compute-storage separation.

Best for

Fast cache + small vector sets

Large-scale vector search at object storage cost.

Serverless doesn't have to mean RAM pricing

Upstash offers serverless convenience, but you're still paying for memory. LanceDB is serverless-friendly AND runs on object storage with native hybrid search.

Upstash Vector

LanceDB

Cost

Serverless but still RAM-based pricing

Object storage rates. Up to 100x savings.

Scale

Memory-bound limits

Petabyte scale. Billions of vectors

Vector search only

Native vector + full-text + SQL hybrid in one query.

Best for

Small serverless vector workloads

Serverless vector search at any scale.

Even open-source RAM is expensive

Valkey is open-source Redis. But open-source doesn't make RAM cheaper. You're still paying $3-5/GB/month for memory infrastructure at scale.

Valkey

LanceDB

Cost

Open-source but RAM infrastructure - $3-5/GB/month

Open-source on object storage - $0.02/GB/month

Operations

Manage your own memory cluster

Stateless compute, object storage durability

Vector search only

Native vector + full-text + SQL hybrid in one query.

Scale

Memory-bound

20 PB largest table. 20K+ QPS.

Best for

Self-hosted cache + small vectors

Self-hosted vector search at scale.

Talk to Engineering

Or try LanceDB OSS — same code, scales to Cloud.

Schedule a Technical Consultation