Qdrant – Efficient, scalable vector search engine for high-performance AI, ML, and semantic search applications

Qdrant is an advanced, high-performance vector database and search engine optimized for similarity search on large-scale, high-dimensional datasets. It features fast and efficient indexing (including HNSW), payload-based filtering, advanced compression techniques, distributed cloud-native architectu

Qdrant logo - Search & Discovery brand identity

Qdrant

"Efficient, scalable vector search engine for high-performance AI, ML, and semantic search applications"

$0 – $25 / month
Free tier

Typical plan: $10 / month

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Qdrant Search & Discovery showing vector database - Efficient, scalable vector search engine for high-performance AI, ML, and

About Qdrant

Qdrant is an advanced, high-performance vector database and search engine optimized for similarity search on large-scale, high-dimensional datasets. It features fast and efficient indexing (including HNSW), payload-based filtering, advanced compression techniques, distributed cloud-native architecture, multitenancy, easy-to-use APIs, enterprise-grade security, and seamless integration with leading embedding frameworks.

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Additional Notes

Qdrant is suitable for various applications such as recommendation systems, image and text search, clustering, and anomaly detection.

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Comparing 4 AI tools.

Upvotes:
4
Avg. Rating:
5.0
Slogan:
Efficient, scalable vector search engine for high-performance AI, ML, and semantic search applications
Pricing Model:
Freemium
Enterprise
Contact for Pricing
Monthly Pricing (USD):
$0 – $25 / month
Min$0 / month
Mid$10 / month
Max$25 / month
Free tier
Pricing Details:
Free 1GB cloud forever tier. Managed Cloud hourly from $0.014/hr (~$10/month). Paid Community plan from $25/month. Enterprise/Private Cloud: contact for pricing.
Platforms:
Web App
API
Target Audience:
Software Developers, Scientists, Entrepreneurs, Educators, Students, AI Enthusiasts, Product Managers
Website:
Visit Site
Upvotes:
785
Avg. Rating:
4.8
Slogan:
Accurate answers, powered by AI.
Pricing Model:
Freemium
Subscription
Enterprise
Monthly Pricing (USD):
N/A
Pricing Details:
Free tier, Pro at $20/month, Max at $200/month, Enterprise from $40/user/month. All prices in USD.
Platforms:
Web App
Mobile App
API
Target Audience:
AI Enthusiasts, Scientists, Content Creators, Product Managers, Business Executives, Entrepreneurs, Educators, Students
Website:
Visit Site
Upvotes:
242
Avg. Rating:
5.0
Slogan:
Democratizing good machine learning, one commit at a time.
Pricing Model:
Freemium
Pay-per-Use
Enterprise
Monthly Pricing (USD):
N/A
Pricing Details:
Free Hub plan; Pro account at $9/month (billed yearly); Team plan at $20/user/month; Enterprise plan (custom, typically from $50/user/month); hardware and inference pay-as-you-go (e.g. GPU from $0.60/hour); no free trial.
Platforms:
Web App
API
Target Audience:
AI Enthusiasts, Software Developers, Scientists, Content Creators, Educators, Students, Business Executives, Entrepreneurs
Website:
Visit Site
Upvotes:
296
Avg. Rating:
5.0
Slogan:
Unified AI and cloud for every enterprise: models, agents, infrastructure, and scale.
Pricing Model:
Freemium
Pay-per-Use
Enterprise
Contact for Pricing
Monthly Pricing (USD):
N/A
Pricing Details:
Free tier; Pro at $19.99/month; Ultra at $249.99/month; Vertex AI usage-based pricing; Enterprise/committed plans available via sales.
Platforms:
Web App
API
CLI Tool
Plugin/Integration
Target Audience:
Software Developers, Scientists, Product Managers, Business Executives, Entrepreneurs, Educators, Students, Customer Service, Healthcare Providers
Website:
Visit Site

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Use this page as a starting point to evaluate Qdrant alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.

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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Qdrant and the broader ecosystem over time.

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How Qdrant Works

Custom pricing ensures Qdrant fits high-scale or regulated deployments. The vendor works with stakeholders to scope rollout, enablement, and ongoing support. Sales will scope pricing around volume, compliance, and onboarding requirements.

Key Features & Capabilities

Developer-friendly API

RESTful API design follows industry standards for easy integration.

Client libraries available

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Open-source transparency

Open source means community feedback, transparent security, and rapid iteration.

Built for regulated teams

Qdrant aligns with common compliance frameworks so regulated industries can adopt AI safely. Security controls, permissions, and logging keep sensitive data protected.

Support & service excellence

Qdrant unifies tickets, context, and communication so agents resolve faster. Support leaders get knowledge, automation, and collaboration in one place.

Common Use Cases

Software Developers
Enhance developer productivity

Engineering keeps ownership of customization while leveraging managed AI capabilities.

Software Developers
Product roadmap planning

Launch reviews and retrospectives stay organized in one place.

Software Developers
Secure deployments

Security teams monitor access, compliance, and audit trails inside Qdrant. Security controls, permissions, and logging keep sensitive data protected.

Pricing & Plans

Free 1GB cloud forever tier. Managed Cloud hourly from $0.014/hr (~$10/month). Paid Community plan from $25/month. Enterprise/Private Cloud: contact for pricing.

Usage Model: API Calls, Storage — ensuring you only pay for what you actually use.

Frequently Asked Questions about Qdrant

What is Qdrant and what does it do?
Qdrant is Efficient, scalable vector search engine for high-performance AI, ML, and semantic search applications. Qdrant is an advanced, high-performance vector database and search engine optimized for similarity search on large-scale, high-dimensional datasets. It features fast and efficient indexing (including HNSW), payload-based filtering, advanced compression techniques, distributed cloud-native architecture, multitenancy, easy-to-use APIs, enterprise-grade security, and seamless integration with leading embedding frameworks. Available on Web App, API, Qdrant is designed to enhance productivity and deliver professional-grade search & discovery capabilities.
How much does Qdrant cost?
Qdrant offers Freemium, Enterprise, Contact for Pricing pricing options. Free 1GB cloud forever tier. Managed Cloud hourly from $0.014/hr (~$10/month). Paid Community plan from $25/month. Enterprise/Private Cloud: contact for pricing. Current estimates suggest pricing from $0 – $25 / month. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official Qdrant pricing page or contact their sales team for custom enterprise quotes.
Is Qdrant secure and compliant with data privacy regulations?
Qdrant takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Qdrant support?
Qdrant is available on Web App, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Qdrant capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Qdrant wherever and however you work best.
How can I try Qdrant before purchasing?
The freemium model gives you access to essential features at no cost, with premium capabilities available through paid upgrades. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for Python, Java, Go, Rust makes it accessible to global users.
What file formats does Qdrant support?
Qdrant accepts Qdrant supports input data in various formats including CSV, JSON, and binary. as input formats, making it compatible with your existing files and workflows. Output is delivered in Search results from Qdrant can be retrieved in JSON format for easy integration with different applications., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines. Whether you're importing data, exporting results, or chaining multiple tools together, Qdrant handles format conversions efficiently without manual intervention.
Who develops and maintains Qdrant?
Qdrant is developed and maintained by Qdrant, based in Germany. Most recently updated in September 2025, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Qdrant stays competitive and aligned with industry best practices.
How do I get access to Qdrant?
Qdrant is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in Qdrant?
Qdrant uses API Calls, Storage as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Qdrant offer?
Qdrant supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is Qdrant best suited for?
Qdrant is primarily designed for Software Developers, Scientists, Entrepreneurs and Educators. Professionals in search & discovery find it invaluable for streamlining their daily tasks. Whether you need automation, creative assistance, data analysis, or communication support, Qdrant provides valuable capabilities for multiple use cases and skill levels.
Does Qdrant offer APIs or SDKs?
Yes, Qdrant provides SDK support for Python, Go. This enables developers to integrate the tool's capabilities into custom applications.
Is Qdrant open source?
Yes, Qdrant is open source, meaning the source code is publicly available for inspection, modification, and contribution. This transparency allows developers to verify security practices, customize functionality for specific needs, and contribute improvements back to the community. Open source projects often benefit from rapid innovation and community-driven development. Qdrant maintains the project while welcoming community contributions. You can self-host the solution for complete control over your data and deployment environment.
Does Qdrant receive regular updates?
Qdrant is actively maintained with regular updates to improve features, security, and performance. Qdrant continuously develops the platform based on user feedback and industry advancements. Updates typically include new AI capabilities, interface improvements, bug fixes, and security patches. Comprehensive API documentation is kept current with each release, making it easy for developers to leverage new features. Staying up-to-date ensures you benefit from the latest AI advancements and best practices in search & discovery.
What do users say about Qdrant?
Qdrant has received 1 user review with an average rating of 5.0 out of 5 stars. This exceptional rating reflects strong user satisfaction and demonstrates the platform's ability to deliver real value. Additionally, Qdrant has received 4 upvotes from the community, indicating strong interest and recommendation. Reading detailed reviews helps you understand real-world performance, common use cases, and potential limitations before committing to the platform.
Is the information about Qdrant up-to-date and verified?
Yes, Qdrant's listing was last verified within the past quarter by our editorial team. We regularly review and update tool information to maintain accuracy. Our verification process checks pricing accuracy, feature availability, platform support, and official links. If you notice outdated information, you can submit corrections through our community contribution system to help keep the directory current and reliable for all users.
How does Qdrant compare to other Search & Discovery tools?
Qdrant distinguishes itself in the Search & Discovery category through accessible pricing options that lower the barrier to entry. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.
How difficult is it to learn Qdrant?
The learning curve for Qdrant varies depending on your experience level and use case complexity. Comprehensive API documentation supports developers who need to integrate the tool programmatically. Most users report becoming productive within a few days depending on their background. Qdrant balances powerful capabilities with intuitive interfaces to minimize the time from signup to value delivery.
How often is Qdrant updated with new features?
Qdrant was most recently updated in September 2025, demonstrating active ongoing development. Qdrant maintains a development roadmap informed by user feedback and market trends. Regular updates typically include performance optimizations, bug fixes, security patches, and new capabilities that expand the tool's functionality. This frequent update cadence ensures the platform stays current with rapidly evolving AI technologies.
What support resources are available for Qdrant?
Qdrant provides multiple support channels to help users succeed. Comprehensive API documentation covers technical integration details, code examples, and troubleshooting guides. Privacy policy documentation explains data handling practices and compliance measures. Qdrant typically offers additional support through email, chat, or ticketing systems depending on your plan. The combination of self-service resources and direct support channels ensures you can resolve issues quickly and maximize your investment in the platform.
Is Qdrant a reliable long-term choice?
When evaluating Qdrant for long-term use, consider several indicators: Development by Qdrant provides organizational backing and accountability. Growing community interest indicates positive momentum. High user satisfaction ratings suggest the platform delivers on its promises. Recent updates demonstrate active maintenance and feature development. The open-source nature reduces vendor lock-in risks and enables community-driven continuity. Consider your specific requirements, budget constraints, and risk tolerance when making long-term platform commitments.
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