Qdrant, the high-performance, open source vector database, is unveiling new capabilities for Qdrant Cloud that address various operational bottlenecks associated with powering large-scale AI deployments. Aiming to deliver enterprise-ready workflows for scalable AI, Quadrant Cloud now offers new security, observability, and automation features.
Qdrant’s latest capabilities acknowledge the growing pressures that enterprises face not only for scalability and speed, but infrastructure management, control, and compliance.
The first of the new features, Qdrant’s Cloud API for simplified management, reduces overhead by enabling users to programmatically manage clusters, authentication, and cloud configurations. This API also automates deployment and scaling, paired with support for infrastructure-as-code workflows such as Terraform, driving the repeatable, version-controlled deployments.
Qdrant is also introducing enhancements to secure access and authentication, including cloud role-based access control (RBAC). With cloud RBAC (early access), enterprise teams are afforded fine-grained permissions for managing clusters, billing, and hybrid cloud deployments in Qdrant Cloud. New Single Sign-On (SSO) capabilities offer new ways to sign into Qdrant Cloud, including through users’ Okta, Google Workspace, Azure AD (Entra ID), SAML, and PingFederate credentials. Qdrant Cloud now also offers granular Database API Keys, which provide per-cluster and per-collection restrictions—including enforced expirations and instant revocation—that enable users to specific read-only or read/write permissions for each key.
In the space of real-time monitoring and observability, Qdrant is debuting a new integration with Prometheus/OpenMetrics that enables teams to track query performance, query latency, request columns, CPU usage, memory usage, and disk space. This feature is compatible with Datadog, Grafana, and other monitoring tools.
“As enterprises scale AI applications, they need a vector database that is not only high-performing but also highly secure, with granular access control, easily manageable, and built for real-world operations,” said André Zayarni, Qdrant CEO and co-founder. “With these enterprise-grade enhancements, Qdrant Cloud ensures organizations can deploy, monitor, and control their AI workloads effortlessly, reducing complexity while maintaining peak performance.”
To learn more about Qdrant and Qdrant Cloud, please visit https://qdrant.tech/.