Which Qdrant Deployment Do I Need?

Which Qdrant Deployment Do I Need?

Start with what you need: managed ops or full control? Network latency acceptable or not? Production or prototyping? The answer narrows to one of four options.

Getting Started or Prototyping

Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant.

• Use local mode (Python only): zero-dependency, in-memory or disk-persisted, no server needed Local mode
• Local mode data format is NOT compatible with server. Do not use for production or benchmarking.
• For a real server locally, use Docker Quick start

Going to Production (Self-Hosted, You Own Ops)

Use when: you need full control over infrastructure or custom configuration, and are prepared to own operations (upgrades, backups, scaling, monitoring) yourself.

• Docker is the standard self-hosted deployment. Full Qdrant Open Source feature set, minimal setup. Quick start
• You own operations: upgrades, backups, scaling, monitoring
• Must set up distributed mode manually for multi-node clusters Distributed deployment
• Have a data-residency or compliance requirement but don't want to own that ops burden? That combination is Hybrid Cloud (next section), not self-hosted Docker.

Going to Production (Zero-Ops)

Use when: you want managed infrastructure with zero-downtime updates, automatic backups, and resharding without operating clusters yourself — including when data-residency or compliance rules mean the data can't sit on Qdrant-operated infrastructure.

• Qdrant Cloud handles upgrades, scaling, backups, and monitoring Qdrant Cloud
• Hybrid Cloud: the same managed control plane, deployed on your own infrastructure/VPC. Use this when data residency or compliance requirements rule out Qdrant Cloud but you still don't want to operate clusters yourself Hybrid Cloud
• Supports multi-version upgrades automatically
• Provides features not available in self-hosted: /sys_metrics, managed resharding, pre-configured alerts

Need Lowest Possible Latency

Use when: network round-trip to a server is unacceptable. Edge devices, in-process search, or latency-critical applications.

• Qdrant EDGE: in-process bindings to Qdrant shard-level functions, no network overhead Qdrant EDGE
• Same data format as server. Can sync with server via shard snapshots.