Pure usage pricing. Nothing else.
No clusters. No provisioning. No idle cost, ever.
Start for free
Build prototypes, learn the API, and validate ideas — no credit card required.
- 1 project
- Up to 2 team members
- 2 GB storage
- 2 GB writes / month
- 1 PB reads / month
- Available in 34 AWS regions worldwide
- Community support (Slack)
Scale to billions.
- Pay-as-you-go based on usage
- Available in 34 AWS regions worldwide
- Continuous backup and point-in-time-restore
- Hybrid search + semantic + lexical
- Zero-copy collection fork
Compare Free and Standard
Every core feature is available on Free. Standard unlocks scale, advanced controls, and direct support.
| Feature | Free | Standard |
|---|---|---|
| Hybrid search (BM25 + multi-vector) | ||
| Flexible document model | ||
| Full-text search (BM25) | ||
| Filtered search | ||
| Range search | ||
| Multi-language FTS (EN, KO, JA) | ||
| Vector compression | ||
| Automatic sharding | ||
| Git-like branching | ||
| Partitioning / multi-tenancy | ||
| Max projects | 1 | 5 (or higher on request) |
| Max team members | 2 | Unlimited |
FAQ
Storage is billed at $0.33 / GB-month, prorated to the hour. If you halve your data mid-month, you pay half.
Whenever your usage exceeds the free quota — 2 GB storage, 2 GB writes/month, or 1 PB reads/month. At that point you switch to the Standard plan, which is pay-as-you-go: you pay per unit ($0.33 / GB-month storage, $1.00 / GB writes, $5.00 / PB reads) with no minimum charge. As long as you stay within the free quota, your project stays free forever.
Partitioning prevents your queries from scanning the entire index. LambdaDB reads only the partitions you choose, so you pay for fewer bytes scanned and get lower latency. Same index, same accuracy — just faster and cheaper.
LambdaDB uses a serverless, disaggregated architecture, so you don't manage clusters yourself. When traffic spikes, we scale up transparently and you only pay for resources actually used — no pre-provisioning for the peak of the peak, no permanently oversized clusters.
LambdaDB scales to billions of vectors in a single logical index at production-scale latency. Sharding and redistribution happen automatically — no manual re-sharding when your dataset grows.
Start simple. Scale to billions.
Discover how LambdaDB keeps your AI fast and affordable as your data grows.