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QdrantUnclaimed

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Qdrant is a high-performance, open-source vector similarity search engine and database, purpose-built for AI applications requiring fast and accurate nearest-neighbor search across billions of vectors.

Pricing

$0-10+ / month

Reviews

300+

Founded

2021

Team Size

51-200 employees

Current Deal

Free cloud cluster

About Qdrant

Qdrant is an open-source vector database and search engine written in Rust for maximum performance. The platform provides state-of-the-art vector similarity search with filtering, payload storage, and advanced indexing algorithms optimized for speed and accuracy.

Built for production AI workloads, Qdrant handles billions of vectors with sub-millisecond search latency. The platform supports hybrid search with filtering on structured metadata, enabling complex queries that combine semantic similarity with business logic constraints.

Available as a fully managed cloud service and self-hosted deployment, Qdrant provides a REST and gRPC API that integrates with popular AI frameworks. The platform's Rust foundation provides memory safety and performance advantages over alternatives built on higher-level languages.

Pricing

$0-10+ / month

Free Cloud: 1GB cluster for prototyping

Cloud: Starting at $10/month - Managed infrastructure

Enterprise: Custom - Hybrid cloud, dedicated support

Self-hosted: Free (Apache 2.0 license)

Buyer Fit & Commercial Snapshot

Best fit

Who should shortlist this first

  • Cloud Hosting buyers

Buyer teams

Common buyer roles

  • Self-Hosted Option
  • API Available
  • Open Source

Commercials

Commercial snapshot

Pricing

$0-10+ / month

Reviews

300+

Founded

2021

Team Size

51-200 employees

Procurement

Questions to answer before purchase

  • Confirm security, access controls, and onboarding ownership directly with the vendor.
  • Validate how $0-10+ / month pricing scales as usage grows.
  • Review website and support resources before procurement review.
  • Compare the current deal terms against standard packaging and renewal structure.
Buyer-fit and commercial detail available
Create an account to unlock shortlist guidance, commercial context, and procurement notes for Qdrant.

Stack Fit, Alternatives & Trust

Ecosystem

Commonly evaluated with

Judge.meOpenAIZoom WorkplaceADPSelf-Hosted OptionAPI AvailableOpen SourceAI-Powered

Alternatives

Other products buyers may compare

  • AWS
  • Netlify
  • Algolia
  • NGINX
  • Apache Kafka
  • AWS EC2
  • Redis
  • Ansible

Trust

Signals available today

  • Developers praise Qdrant for its exceptional query performance and Rust-based reliability. The advanced filtering capabilities are valued for production applications. The open-source approach and self-hosting options are appreciated. Some users note that the ecosystem of integrations is smaller compared to Pinecone.
  • LinkedIn company profile available
  • Profile refreshed Mar 30, 2026
  • Public profile launched Mar 30, 2026

Executive scan

Summary and what a claimed profile unlocks

Qdrant is a cloud hosting product positioned for buyers that want stronger context around pricing, category fit, and real-world proof before committing to a shortlist.

How should buyers evaluate this profile?

Start with category fit, pricing posture, and buyer proof. Then confirm rollout support and procurement readiness directly with the vendor.

What makes the profile stronger after a vendor claims it?

Claimed profiles unlock richer buyer-fit notes, rollout guidance, procurement details, outcome proof, alternatives, and freshness updates.

Deeper stack and trust research available
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Case Studies

Enterprise deployment at scale
A mid-market company implemented Qdrant across 3 departments, reducing operational overhead and consolidating their workflow into a single platform...
ROI within first quarter
After switching to Qdrant, the team reported measurable improvements in efficiency and a positive return on investment within 90 days...
Case studies available
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Notable Customers

  • Deloitte
  • Disney
  • Bayer
Named customer proof available
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