
Vector database for similarity search
Visit WebsiteThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Fast performance
Biggest con
Smaller community
TL;DR - Qdrant
- Qdrant is a vector database for AI similarity search applications
- It stores and queries high-dimensional vectors with filtering support
- Free and open-source, Cloud version available
What is Qdrant?
Available on: Web
Pros & Cons
Pros
- Fast performance
- Rust-based
- Good filtering
- Open source
- Self-hostable
Cons
- Smaller community
- Cloud newer
- Documentation improving
- Fewer integrations
- Less known
Ratings Across the Web
Qdrant holds an aggregate rating of 4.5 out of 5 from 12 reviews across G2, last checked August 25, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
Pricing Plans
Pricing checked Aug 25, 2026
Managed Cloud (Free)
Free
- 1 GB free forever cluster
- No credit card required
- AWS/GCP/Azure regions
- Horizontal and vertical scaling
- Monitoring and alerting
- High availability
- Backup and disaster recovery
- Zero-downtime upgrades
Managed Cloud (Paid)
null
- Usage-based pricing
- All free features
- Standard support and uptime SLAs
- Premium support available
Hybrid Cloud
null
- All Managed Cloud benefits
- Security and data isolation
- Optimal latency
- Standard or Premium support
Private Cloud
null
- All Hybrid benefits
- On-premise deployment
- Maximum data sovereignty
- Air-gapped environments
- Premium Support included
Is Qdrant worth the price?
Qdrant occupies the sweet spot between developer-friendly open source and production-grade managed cloud.
The open-source engine is genuinely full-featured, unlike some competitors that gate critical features behind paid tiers, Qdrant's filtering, quantization, and distributed mode are all available self-hosted at zero cost. The free cloud tier at 1 GB RAM is the most generous among vector database providers (Pinecone's free tier limits to fewer dimensions and lower throughput).
The managed cloud pricing is usage-based with no per-query charges, which makes costs predictable once you size your cluster, you pay for infrastructure, not API calls. The main trade-off is that Qdrant Cloud does not publish exact per-resource rates on its website, requiring the pricing calculator or sales contact to get precise numbers.
A typical production cluster runs $150-200/month for moderate workloads, which is competitive with Pinecone Serverless and significantly cheaper than Pinecone's pod-based pricing. For teams already running Kubernetes, self-hosting Qdrant is the highest-value option, the Helm chart is well-maintained and horizontal scaling is straightforward.
Hidden Costs & Gotchas
Opaque per-unit pricing
Qdrant Cloud does not publish per-vCPU, per-GB-RAM, or per-GB-storage rates on its pricing page. You must use the pricing calculator at cloud.qdrant.io/calculator or contact sales to estimate costs. This makes budget planning harder compared to competitors with transparent rate cards
High availability doubles or triples cost
the free tier is single-node. Production high availability requires 3-node replication, which roughly triples your compute and storage costs. A $150/month single-node cluster becomes $450/month with HA, plan for this in production budgets
Backup storage is billed separately
snapshots and backups consume additional storage that is charged on top of your cluster's primary disk allocation. Frequent backups of large collections can add 20-50% to your storage costs
Embedding model costs are separate
Qdrant stores and searches vectors but does not generate them. You need an embedding API (OpenAI, Cohere, or open-source models) to convert text/images to vectors before storing them. At scale, embedding API costs can exceed Qdrant infrastructure costs, budget for both
Egress and data transfer
cloud providers charge for data transfer out of the region. If your application queries Qdrant from a different region or cloud provider, egress fees apply. Co-locate your application and Qdrant cluster in the same region
Premium tier minimum spend
the Premium tier requires an annual minimum commitment (amount undisclosed). Organizations wanting SSO and VPC links cannot access these features on a purely usage-based model, the minimum spend acts as an effective price floor
Reviews

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Qdrant FAQ
How does Qdrant facilitate AI application development?
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How does Qdrant compare to Milvus?
What are the main trade-offs when choosing Qdrant?
How is Qdrant priced?
Can Qdrant be self-hosted?
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Source: qdrant.tech