Qdrant is an open-source vector similarity search engine. Features horizontal scaling, filtering, and high availability for production AI applications.

Available on: Web

Louis Corneloup Updated Jul 20, 2026 · how we evaluate Source qdrant.tech ↗

Ratings Across the Web

4.5 (12 reviews)

Qdrant holds an aggregate rating of 4.5 out of 5 from 12 reviews across G2, last checked August 25, 2026.

G2 12 reviews

4.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector search engine
Horizontal scaling
Filtering
High availability
Auto-healing
Backup and recovery
Open-source
On-premise option
Air-gapped deployment
Multi-cloud support

Pricing Plans

Pricing checked Oct 5, 2026

Qdrant plans and prices, checked October 2026
Plan	Price	Details
Managed Cloud (Free)	$0	1 GB free forever cluster No credit card required AWS/GCP/Azure regions +6 more Show less Horizontal and vertical scaling Monitoring and alerting High availability Backup and disaster recovery Zero-downtime upgrades Unlimited users
Managed Cloud (Paid)	Custom	Usage-based pricing All free features Standard support and uptime SLAs +1 more Show less Premium support available
Hybrid Cloud	Custom	All Managed Cloud benefits Security and data isolation Optimal latency +1 more Show less Standard or Premium support
Private Cloud	Custom	All Hybrid benefits On-premise deployment Maximum data sovereignty +2 more Show less Air-gapped environments Premium Support included

View full pricing

Is Qdrant worth the price?

Good value

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.

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.

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

Full Qdrant pricing: every plan, hidden costs and alternatives

Reviews

Improve Your Thinking Patterns Using ChatGPT cover

$99 Free with your review

Review Qdrant, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

4.5/5

Across 12 verified user reviews on G2

Add your hands-on experience using the offer above to help the next buyer.

Best Qdrant Alternatives

Top alternatives based on features, pricing, and user needs.

Milvus Free

Open-source vector database for AI

4.8

Pinecone Freemium

Managed vector database for semantic search and RAG

4.2

Weaviate Freemium

Open-source vector database with ML

4.4

Chroma Freemium

Open-source vector database for AI applications

4.2

See all vector databases tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Qdrant vs Milvus Head-to-head: features, pricing, who wins Qdrant vs Pinecone Head-to-head: features, pricing, who wins Qdrant vs Weaviate Head-to-head: features, pricing, who wins

Explore More

Qdrant FAQ

How does Qdrant facilitate AI application development?

Qdrant serves as a vector database specifically designed for similarity search, providing the necessary infrastructure for production AI applications. It offers features like horizontal scaling and high availability to support demanding AI workloads.

What kind of user benefits most from Qdrant?

Qdrant is best suited for developers and organizations building AI applications that require efficient and scalable similarity search capabilities. Its open-source nature and self-hostable option appeal to those who need control over their data infrastructure.

How does Qdrant compare to Milvus?

Qdrant and Milvus both offer vector similarity search capabilities, but Qdrant is built with Rust, which contributes to its fast performance and good filtering. Qdrant is also open-source and self-hostable, providing flexibility for deployment.

What are the main trade-offs when choosing Qdrant?

A primary trade-off with Qdrant is its relatively smaller community and fewer integrations compared to more established solutions. Its cloud offering is also newer, and the documentation is still in the process of improving.

How is Qdrant priced?

Qdrant is available on a free tier, allowing users to get started without initial cost. For more extensive usage and additional features, paid plans are offered.

Can Qdrant be self-hosted?

Yes, Qdrant is an open-source vector database that can be self-hosted. This provides users with flexibility and control over their deployment environment.

Which features support high-performance AI applications in Qdrant?

Qdrant supports high-performance AI applications through its fast performance, horizontal scaling, and high availability features. It also offers robust filtering capabilities for precise similarity searches.

Source: qdrant.tech

Guides & Articles

Best Vector Databases in 2026

Features Qdrant

Best Open Source Databases in 2026

Features Qdrant

Best Synthetic Data Tools 2026

Expert guide