Deploy and manage 25+ Production-grade databases as native Kubernetes resources on Google GKE. Leverage Google Cloud Infrastructure with broader choice, zero extra licensing, and true GitOps agility. KubeDB by AppsCode delivers a production-grade, Kubernetes-native Database-as-a-Service platform that runs seamlessly on Google Kubernetes Engine (GKE). It enables platform teams and developers to provision, manage, scale, backup, and recover a wide range of databases using familiar Kubernetes APIs and declarative workflows - without vendor lock-in or reliance on cloud-managed database services. If you're running applications on Google GKE, you already enjoy scalable, managed Kubernetes. However, databases often introduce complexity through separate tooling, manual operations, or cloud-specific DBaaS services that create lock-in. KubeDB changes that by making databases first-class Kubernetes resources directly inside your GKE clusters: Launch databases in minutes using kubectl, Helm, GitOps, or self-service portals. Automate Day-2 tasks and eliminate custom scripts. Use existing Google Cloud storage and avoid premium managed DBaaS pricing. Same workflows whether running on GKE or other clouds. The KubeDB Operator sits directly on top of your GKE clusters, leveraging GCP infrastructure, multi-zone capabilities, and Kubernetes-native patterns for database automation. 25+ Database engines with HA, scaling, backup, TLS, monitoring, and GitOps support KubeDB integrates deeply with GKE, supporting any Kubernetes StorageClass (including Persistent Disks, Filestore, or third-party CSI drivers). Databases run inside your private pod network with full affinity and anti-affinity controls for multi-zone resiliency. Complete data ownership and sovereignty with portability across clouds or on-prem. Support for air-gapped and sovereign environments with your choice of storage optimized for performance, cost, or resilience. Manage 25+ Database engines including PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Kafka, and more, all with consistent Kubernetes-native workflows. Declarative CRDs handle provisioning, upgrades, scaling and repair with zero-downtime where possible. Multi-zone clustering, automated failover, PodDisruptionBudgets, and continuous health checks. Integrated with KubeStash for policy-driven, incremental, encrypted backups to Google Cloud Storage. Support for point-in-time recovery. Native Prometheus + Grafana dashboards. Integrates with Google Cloud Monitoring and Operations Suite. Automated TLS, Transparent Data Encryption, RBAC integration with GKE Workload Identity, network policies, and Vault support. Platform teams enforce policies while developers provision databases via Kubernetes-native workflows. 25+ Database engines managed with Kubernetes-native workflows KubeDB leverages the full power of Google Cloud and Kubernetes to deliver a complete database platform Deploy databases natively on Google GKE with support for Autopilot, Standard clusters, and GKE Enterprise. Full GitOps workflows with Config Sync. Automated backup and archival to GCS with lifecycle policies, versioning, cross-region replication, and Nearline/Coldline storage classes. Deep integration with Cloud Monitoring, Cloud Logging, and native Prometheus support with pre-built Grafana dashboards. Use Google Cloud IAM with Workload Identity for authentication and Kubernetes RBAC for fine-grained access control. Deploy databases in your VPC with custom network configurations, VPC-native clusters, and Kubernetes NetworkPolicies. Encryption key management High-performance SSD storage DNS management Credential rotation Infrastructure as code TLS/SSL certificates Dynamic scaling policies Multi-cluster management Run databases on Google Cloud at a fraction of the cost while improving performance and developer productivity Run multiple databases on the same GCE host, unlike Cloud SQL which requires dedicated instances Use GCP Spot VMs for database pods, reducing compute costs by up to 90% Cloud SQL charges premium management fees on top of GCE costs. KubeDB fees are significantly lower Use KubeDB free for any clusters running less than 30 days (dev, test, CI/CD environments) Feature-by-feature, KubeDB on GKE delivers broader coverage, lower cost, and true portability. Organizations typically save 60-70% on database costs when switching from Cloud SQL to KubeDB, while improving provisioning speed and developer productivityRun Any Database Natively on
Google Kubernetes Engine -
Without the Compromise.What This Means for Google Cloud and GKE Users
Faster Time-to-Value
Lower Operational Burden
Cost Optimization
Hybrid/Multi-Cloud Consistency
KubeDB runs natively on Google GKE
Production databases. Fully automated on GKE.
Run Databases Natively on GKE
DBaaS Without Cloud Lock-In
Broad Database Support
Automated Lifecycle Management
High Availability & Resiliency
Backup & Recovery
Monitoring & Observability
Security & Governance
Self-Service for Developers
Comprehensive Database Support
Seamless Google Cloud & Kubernetes Integration
Google GKE & Kubernetes
Google Cloud Storage
Google Cloud Monitoring & Operations
Workload Identity & IAM
VPC & Network Policies
Additional Google Cloud & Enterprise Integrations
Cloud KMS
Persistent Disks
Cloud DNS
Secret Manager
Cloud Deployment Manager
Certificate Manager
Auto Scaling
Config Sync & Anthos
Why KubeDB Is More Cost-Effective Than Cloud SQL
Better Bin Packing
Spot VM Support
Lower Management Fees
Free for Short-Lived Workloads
Why KubeDB on GKE Beats Cloud SQL
Capability Cloud SQL Provisioning Speed 5-10 minutes Vendor Lock-in Google Cloud only Database Engine Support PostgreSQL, MySQL only Cost Structure Premium service fees Multi-Cloud Portability Not available Calculate Your Savings
Run Databases Natively
on Google GKE
60% cost savings, 10x faster provisioning, zero vendor lock-in
Deploy 25+ databases in <60s 90% savings with Spot VMs Full GCP integration (GCS, KMS)