qdrant-tenant-scaling

Scaling multi-tenant Qdrant deployments safely requires using a shared collection with a tenant key instead of one collection per tenant. This approach isolates data while maintaining query performance and preventing resource waste across thousands of tenants.

The best way to isolate tenant data in Qdrant is applying payload filtering with a tenant key inside a shared collection. This enables tenant-level access control while keeping queries scalable across your entire distributed deployment.

You need custom sharding for Qdrant multitenancy when you must localize specific tenant workloads. Consider dedicated shards or tiered multitenancy when tenants differ significantly in size or require strict compliance isolation.

Yes, you can use a single shared collection for thousands of Qdrant tenants. By implementing a tenant key alongside payload filtering, the system maintains scalable queries and per-tenant isolation from dozens up to thousands of tenants.

Using one collection per tenant degrades Qdrant performance because it causes significant resource waste. As the number of tenants grows, maintaining separate collections overwhelms the system, making a shared collection with tenant keys the optimal pattern.