Offering overview
Written in Rust and released under Apache 2.0, the Qdrant engine handles vector similarity search with payload filtering, quantization and horizontal sharding. Qdrant Cloud wraps it in a managed control plane: clusters are provisioned on AWS, Azure or GCP with dedicated resources, vertical and horizontal scaling, high-availability configurations, automated backups and disaster recovery, and a 99.5 percent uptime SLA on the Standard tier rising to 99.9 percent with Premium. Two further deployment modes distinguish the company from pure SaaS rivals. Hybrid Cloud lets the same managed experience run on a customer's own Kubernetes infrastructure, while Private Cloud delivers fully isolated, even air-gapped, installations for regulated environments. A forever-free single-node cluster (0.5 vCPU, 1 GB RAM, 4 GB disk) supports prototypes. Paid Standard usage is metered hourly for vCPU, memory, storage, backups and inference tokens with exact figures in the pricing calculator rather than a headline rate; Premium adds SSO and private VPC links behind a minimum spend, and Hybrid and Private Cloud are quoted by sales.
- Management
- Not stated
- Infrastructure
- Not stated
- Pricing model
- Not stated
- Support
- Not stated
- SLA
- Not stated
- Best for
- Vector Search, AI Applications, AI Agents
Technical specifications
- Containers
- Unknown
- Kubernetes
- Unknown
- Root access
- Unknown
- API access
- Unknown
- Autoscaling
- Unknown
- Persistent processes
- Unknown
AI capabilities
- Model serving
- Not stated
- AI frameworks
- Not stated
- Inference endpoints
- Unknown
- Fine-tuning
- Unknown
- Vector database
- Unknown
- Model catalog
- Unknown
- Monitoring
- Not stated
- Evaluation
- Not stated
Security & compliance
No controls are stated.
Geography
Provider headquarters are separate from offering infrastructure and availability.
Infrastructure regions
Global
Data-residency jurisdictions
Not stated
Service availability
Not stated
Support coverage
Not stated
Available plans
Pricing can change. Promotional prices are shown separately from standard prices.
No active plans are recorded for this offering.
Questions & answers
- What search features does Qdrant support?
- The open-source Qdrant engine supports vector similarity search, payload filtering, quantization and horizontal sharding. It is written in Rust and released under Apache 2.0.
- Which cloud providers support managed Qdrant clusters?
- Managed clusters can be provisioned on AWS, Azure or GCP with dedicated resources, vertical and horizontal scaling, automated backups and disaster recovery.
- How do Hybrid Cloud and Private Cloud differ?
- Hybrid Cloud runs the managed experience on a customer's own Kubernetes infrastructure. Private Cloud provides fully isolated installations, including air-gapped deployments for regulated environments.
- Does Qdrant Cloud offer a cluster for prototypes?
- A free single-node cluster supports prototypes with 0.5 vCPU, 1 GB of RAM and 4 GB of disk.
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Unverified
- Primary source
- qdrant.tech
- Sources cited
- 2
- Last reviewed
- 7 October 2026
- Last updated
- 18 October 2026