About Qdrant Managed Cloud

Qdrant Managed Cloud runs Qdrant clusters for you on AWS, GCP, or Azure. You use the same APIs and client libraries as with open source Qdrant. The only differences are the cluster URL and a Database API key on every request.

To create your first cluster, start with Getting Started.

Choose a Deployment Model

Managed CloudHybrid CloudPrivate Cloud
Where clusters runQdrant-owned infrastructure on AWS, GCP, or AzureYour Kubernetes clusters, in any environmentYour Kubernetes clusters, in any environment
Who operates the databaseQdrantQdrant Cloud, through an Operator in your clusterYou, with the Qdrant Operator
ManagementCloud Console, Cloud API, CLI, and TerraformThe same tools as Managed CloudKubernetes resources, with no connection to Qdrant Cloud
Where your data livesQdrant-managed volumes, encrypted at restInside your networkInside your network
Read moreThis sectionHybrid CloudPrivate Cloud

For who is responsible for what in each model, see Shared Responsibility.

Choose a Tier

FreeStandardPremium
Use it forPrototypes and testsProduction workloadsProduction workloads with enterprise requirements
Cluster1 node, 1 GB RAM, 4 GB diskDedicated, multi-node, scalableDedicated, multi-node, scalable
Uptime SLANot included99.5%99.9%, or 99.95% for multi-AZ
SupportBest effortBusiness hours24/7 for Severity 1 and 2 issues

See Create a Cluster for the free tier limits and Premium Tier for the full comparison. Billing is usage-based on CPU, memory, and disk. See Billing & Payments.

What Each Cluster Includes

CapabilityWhat you getDetails
High availabilityAutomatic failover on clusters with 3 or more nodes and replicated collectionsCreate a Cluster
ScalingVertical and horizontal scaling, automatic shard rebalancing, and reshardingScale Clusters
UpgradesRolling, zero-downtime upgrades when collections have a replication factor of 2 or moreUpdate Clusters
BackupsScheduled backups with retention, restored in place or into a new clusterBackup Clusters
MonitoringMetrics, logs, email alerts, and a Prometheus-compatible endpoint with a Grafana dashboardMonitor Clusters
Access controlDatabase API keys with per-collection permissions, IP allowlists, and role-based access to the ConsoleAuthentication, Cloud RBAC
Audit loggingA record of API calls on paid clustersConfigure Clusters
InferenceEmbedding models hosted by Qdrant, or proxied to external providersInference
EncryptionStorage volumes encrypted at rest, with customer-managed keys on PremiumEncryption at Rest

Cluster Lifecycle

  1. Create a cluster and verify it against the production checklist.
  2. Create a Database API key and connect.
  3. Configure the cluster for your workload.
  4. Scale, monitor, and update it as it grows.
  5. Back it up on a schedule.
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