Qdrant Deployment Options

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

• Chose Qdrant Cloud? See the Managed Cloud quickstart skill to create and connect your first cluster.

• 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.

• Single-node feature set only. No distributed mode.

• Chose EDGE and want to build on it? See the qdrant-edge skill (BM25, snapshot sync, hybrid queries).

What NOT to Do

• Use local mode for production or benchmarking (not optimized, incompatible data format)

• Self-host without monitoring and backup strategy (you will lose data or miss outages)

• Recommend self-managed Docker as the production target when the user says they don't want to operate clusters — that combination needs Qdrant Hybrid Cloud or Qdrant Managed Cloud, not self-hosted

• Choose EDGE when you need distributed search (single-node only)

• Pick Hybrid Cloud unless you have data residency requirements (unnecessary Kubernetes complexity when Qdrant Cloud works)