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Qdrant pricing, features, company info, and alternatives

A factual product page for Qdrant as a vector search engine and database.

Last updated April 2026 ยท Pricing and features verified against official documentation

Categories Data & Analytics
Starting price Free
Company Qdrant Solutions GmbH
Launched 2021
HQ Berlin, Germany
Verified Apr 25, 2026

Pricing

Current public pricing tiers on file for Qdrant, last verified Apr 25, 2026.

Free Tier

$0 / month

Free forever for testing and prototypes; includes a single-node cluster, 0.5 vCPU, 1 GB RAM, 4 GB disk, and free cloud inference with selected models.

Standard Tier

Usage-based

Production plan with dedicated resources, flexible scaling, high availability, backups and disaster recovery, and a 99.5% uptime SLA.

Premium Tier

Minimum spend required

Enterprise plan with SSO, private VPC links, a 99.9% uptime SLA, and extra support.

Hybrid Cloud

Contact sales

Runs managed Qdrant clusters on your own infrastructure for local data residency, regulated workloads, and operations in your own cloud.

Private Cloud

Contact sales

Dedicated isolated deployment for strict security, compliance, or air-gapped setups.

What You Can Do With It

The main capabilities that shape how people use Qdrant today.

Stores vectors and payload metadata and supports dense, sparse, hybrid, and multivector retrieval with advanced filters.

Includes reranking, quantization, and real-time indexing for production retrieval workloads.

Supports managed Cloud, Hybrid Cloud, Private Cloud, and open-source self-hosted deployment models.

Provides a built-in web UI and official clients across Python, JavaScript/TypeScript, Rust, Go, and .NET.

Best For

Who Qdrant is most clearly built for.

Teams building semantic search, recommendation, RAG, or agent retrieval systems.

Developers who want an open-source vector engine with a managed cloud option.

Organizations that need cloud, hybrid, or private deployment flexibility with enterprise controls.

Company

Leadership and company context for Qdrant Solutions GmbH.

CEO

Andre Zayarni

Founders

Andre Zayarni, Andrey Vasnetsov

Headquarters

Berlin, Germany

Platforms

Where you can use Qdrant today.

Web

API

Self-hosted

Managed Cloud

Hybrid Cloud

Private Cloud

Privacy Notes

Publicly stated data-handling notes that matter when evaluating Qdrant.

The privacy policy names Qdrant Solutions GmbH as the controller for website and cloud panel data.

The open-source container image collects anonymized usage statistics by default, and users can disable that collection.

Qdrant Cloud disables anonymized usage statistics by default.

Compliance

Public compliance or enterprise-governance signals we found for Qdrant.

SOC 2 Type II

HIPAA

Access

How to integrate or build around Qdrant.

Public API

Yes

Docs

Available

Alternatives

Other tools worth considering alongside Qdrant.

Pinecone

Managed vector database and retrieval platform for search, RAG, and agent applications.

Weaviate

Open-source AI-native vector database with managed cloud, BYOC, and local deployment paths.

Product Snapshot

Qdrant is a vector search engine and database that combines an open-source core with managed cloud, hybrid cloud, private cloud, and self-hosted deployment paths. It is aimed at teams that need retrieval infrastructure with explicit control over filtering, storage, and deployment.

What You Can Do With It

Why It Stands Out

It combines a Rust-based retrieval engine with several deployment models and a broad feature set for production vector search.

Tradeoffs To Know

Sources
  1. qdrant.tech/pricing
  2. qdrant.tech/legal/privacy-policy
  3. qdrant.tech/about-us
  4. qdrant.tech
  5. qdrant.tech/documentation/overview
  6. qdrant.tech/documentation/interfaces
  7. qdrant.tech/hybrid-cloud
  8. qdrant.tech/documentation/ops-configuration/usage-statistics
  9. qdrant.tech/documentation/cloud-security
  10. qdrant.tech/blog/soc-2-type-ii-hipaa