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Enterprise-Grade Vector Search
Deploy the Way you Need
Managed Cloud
Qdrant Cloud provides optimal flexibility and offers a suite of features focused on efficient and scalable vector search - fully managed. Available on AWS, Google Cloud, and Azure.
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Hybrid Cloud
Bring your own Kubernetes clusters from any cloud provider, on-premise infrastructure, or edge locations and connect them to the managed cloud.
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Private Cloud
Experience maximum control and security by deploying Qdrant in your own infrastructure or edge locations.
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“Qdrant powers our demanding recommendation and RAG applications. We chose it for its ease of deployment and high performance at scale, and have been consistently impressed with its results. The platform’s continuous feature enhancements and overall performance gains, coupled with their responsiveness, make Qdrant a reliable solution for our AI infrastructure.”
Srubin Sethu Madhavan
Technical Lead II at Hubspot
Effectively Scale your Enterprise AI Applications
Flexible deployment options. Compliance ready.
Ensure customer trust by safeguarding their data with top-tier security measures. We provide SOC2 Type 2 Certification, Hybrid Cloud deployments for highly regulated environments, and Private Cloud options to give you complete control and ensure data sovereignty.
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Secure Access & Authentication
Control who gets in and what they can do with Cloud RBAC, SSO, and granular
Database API Keys.
Cloud API for Simplified Management
Automate and scale with API-driven control and Terraform support.
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Advanced Monitoring & Observability
Stay ahead of issues with Prometheus/OpenMetrics, Datadog, Grafana, and other third-party integrations.
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Enterprises Face Challenges in Scaling AI Applications
Security & Compliance Risks
Enterprises need granular control over who accesses what data. Without robust security frameworks, role-based access control (RBAC), and single sign-on (SSO) integrations, managing compliance with regulations like GDPR becomes a complex challenge.
Lack of Performance Visibility
Scaling AI applications demands insights into system performance. Without real-time monitoring and observability into query latency, resource usage, and infrastructure health, teams face operational blind spots, slowing down optimization efforts and impacting performance.
Credential Chaos & Access Management Bottlenecks
Growing teams often juggle multiple authentication systems and struggle with credential sprawl. Without a unified access management solution, onboarding and enforcing policies become time-consuming, leading to unauthorized access risks and inefficient workflows.
Manual Infrastructure Management Overhead
Enterprises often struggle to keep up with scaling demands. Manual cluster provisioning and management lead to slow deployments, human errors, and high operational costs.
Enterprises like Bosch use Qdrant for unparalleled performance and massive-scale vector search. “With Qdrant, we found the missing piece to develop our own provider independent multimodal generative AI platform at enterprise scale.”
Jeremy Teichmann & Daly Singh
Generative AI Expert & Product Owner
“Vector stores are definitely here to stay, the objects in the world around us from image, sound, video and text become easily universal and searchable thanks to the embedding models and vector stores. I personally recommend Qdrant. We have been using it for a while and couldn’t be happier.”
Hooman Sedghamiz
Director AI/ML, Bayer
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Turn embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
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