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.
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. |
| Search | 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. |
| Search | 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 |
| Search | 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.