AI Infrastructure & MLOps Freemium

Qdrant

Open-source vector database with managed, hybrid, and private deployment

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PricingFreemium
Starting priceUsage-based
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentHybrid
Last verifiedAugust 3, 2026
Overview

Tool overview

Qdrant is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Qdrant?

Qdrant is an Apache-2.0 vector database and similarity-search engine with REST, gRPC, official clients, filtering, hybrid retrieval, cloud inference, managed cloud, hybrid cloud, and private deployments.

Best fit

Best for

Teams needing flexible vector search across cloud and private infrastructure

Audience

Who is it for?

AI engineersSearch teamsML platform teamsRegulated enterprises
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

REST and gRPC vector search interfaces

Filtering, hybrid retrieval, and reranking

Managed, hybrid, private, and self-hosted deployment

Cloud inference for text and image embeddings

Workflows

Use cases

Build RAG and semantic search

Serve recommendation systems

Store agent memory and embeddings

Deploy regulated private vector search

Strengths

Pros

  • Free forever cloud cluster
  • Apache-2.0 open-source engine
  • Certified solution partner ecosystem
Considerations

Limitations

Free clusters can be suspended and deleted after prolonged inactivity.

Usage billing includes compute, memory, disk, backups, and paid inference tokens.

Cost

Pricing details

Pricing modelFreemium
Starting priceUsage-based
Free planYes
Free trialYes
Pricing context

Billing options

Free foreverHourly resource usagePremium minimumEnterprise custom
Pricing context

Pricing note

The free tier provides one node with 0.5 vCPU, 1 GB RAM, and 4 GB disk. Standard is billed hourly by compute, memory, storage, backups, and inference. Premium and private deployment require commercial terms.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Python

JavaScript and TypeScript

Rust

Go

LangChain

LlamaIndex

OpenAI

Cohere

Gemini

Specs

Technical details

PlatformsWeb, API
Multilingual supportYes
Login requiredYes
Open sourceYes
LicenseApache-2.0
DeploymentHybrid
CompanyQdrant Solutions GmbH
Current version1.18.2
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

Qdrant is an Apache-2.0 vector database and similarity-search engine with REST, gRPC, official clients, filtering, hybrid retrieval, cloud inference, managed cloud, hybrid cloud, and private deployments.
Teams needing flexible vector search across cloud and private infrastructure
The listed pricing model for Qdrant is freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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