Operator
StackGres focuses on Kubernetes Postgres cluster operations.
StackGres Alternative
StackGres is a full PostgreSQL platform on Kubernetes with a web UI and distributed storage, but still lacks database branching, developer self-service, and org-wide RBAC. Compare with Vela BYOC.
StackGres can be a valid Kubernetes Postgres choice. The question is whether your team also needs developer self-service, branch-based validation, and a higher-level Postgres platform workflow.
Last updated: March 2026
Operator
StackGres focuses on Kubernetes Postgres cluster operations.
Workflow gap
Developer branches and self-service usually require extra platform work.
BYOC
Vela fits teams that want managed-like workflows in their own boundary.
Postgres
Both paths keep PostgreSQL behavior and ecosystem compatibility in view.
Context
StackGres (ongres.com/stackgres) takes a different approach from most Kubernetes PostgreSQL operators: it aims to be a complete PostgreSQL platform on Kubernetes with a built-in web UI, integrated connection pooling, distributed storage support (Rook/Ceph), and automated minor version upgrades. For teams wanting more than bare infrastructure primitives — but not wanting to manage 7+ Supabase services — StackGres offers an interesting middle ground. However, it still lacks the developer workflow capabilities that modern development teams need: no copy-on-write database branching, no developer self-service environments, and no organization-wide RBAC with SSO.
StackGres is an open-source AGPL-licensed PostgreSQL operator for Kubernetes developed by OnGres. It runs a 'PostgreSQL Stack' — PostgreSQL with PgBouncer, Envoy proxy, Fluentd for logging, and Prometheus for monitoring — all managed as a single unit. StackGres includes a web UI (SGWeb) for cluster management, supports distributed storage via Rook/Ceph or cloud PVs, and automates minor version upgrades. Its Patroni-based HA handles automatic failover. StackGres is opinionated — it makes choices about the full stack so you don't have to.
The evaluation comes down to ownership. If your team wants to operate Kubernetes Postgres primitives directly, StackGres may be a strong fit. If your team needs a product-like Postgres platform with branches, clones, lifecycle rules, and self-service on top, Vela targets that higher-level workflow.
Where It Fits
Both choices can be valid. They optimize for different operating models.
Teams who want a complete PostgreSQL platform on Kubernetes with a web UI, and are comfortable with StackGres's opinionated technology choices and AGPL licensing.
No copy-on-write database cloning or branching No developer self-service — platform team manages all environments
Vela is the better evaluation path when teams need branch-based development, self-service database environments, and governance in their own infrastructure boundary.
Evaluation Path
Start with the operating model your team wants to own after rollout.
Confirm whether your team wants to own StackGres cluster operations directly.
List how teams will create test databases, branches, QA environments, and migration validation paths.
Identify what your team would need to build around the operator for self-service and governance.
Evaluate whether Vela provides the platform workflow without requiring a custom internal DBaaS project.
Vela Capabilities
Vela focuses on the product workflow around Postgres, not only the cluster lifecycle.
Create isolated Postgres environments for development, CI, QA, and migration testing.
Give teams a repeatable way to request and clean up database environments.
Keep data and infrastructure boundaries aligned with enterprise platform strategy.
Make access, retention, audit, and cleanup part of the database workflow.
For Platform Leaders
A Kubernetes operator can be a good foundation. The harder question is who owns the workflow above it: branches, clone policies, CI integration, self-service access, audit, cleanup, and developer experience.
Talk to the Vela teamFeature Comparison
How StackGres compares with Vela across platform workflow dimensions.
| Feature | StackGres | Vela |
|---|---|---|
| Deployment model | Kubernetes operator with full stack sidecar | BYOC — managed control plane in your cloud |
| Web UI | Yes — SGWeb for cluster management | Yes — built-in management interface |
| High availability | Patroni-based HA with automatic failover | HA-oriented platform workflow |
| Connection pooling | PgBouncer + Envoy sidecar (built in) | Built-in connection management |
| Monitoring | Prometheus + Grafana + Fluentd (built in) | Built-in observability dashboard |
| Distributed storage | Rook/Ceph or cloud PVs | Vela-managed storage architecture |
| Minor version upgrades | Automated | Managed upgrades by control plane |
| Copy-on-write database cloning | No — no copy-on-write branching | Yes — copy-on-write branch workflow |
| Git-style DB branching | No — must implement yourself | Yes — branch per PR / pipeline / developer |
| Developer self-service | No — platform team manages clusters | Yes — developers spin up DB branches via UI/API |
| Org-wide RBAC | Kubernetes namespace isolation only | Organization-wide RBAC across all databases |
| SSO / SAML / LDAP | Not included | Built-in SSO/SAML/LDAP integration |
| License | AGPL (open source — commercial implications) | Commercial (BYOC — data stays in your cloud) |
Related Comparisons
Continue the comparison with an adjacent Postgres platform path.
Continue the comparison with an adjacent Postgres platform path.
Continue the comparison with an adjacent Postgres platform path.
FAQ
StackGres is an AGPL-licensed open-source PostgreSQL operator for Kubernetes developed by OnGres. Unlike operators like CloudNativePG or Zalando that focus on HA clustering, StackGres provides a complete opinionated stack: PostgreSQL, PgBouncer, Envoy proxy, Fluentd logging, Prometheus monitoring, and a web UI — all deployed together as a single managed unit. This makes it easier to get started but means a heavier resource footprint than leaner operators.
No. StackGres does not support copy-on-write database cloning or Git-style branching. Like all Kubernetes PostgreSQL operators, creating an isolated copy of a database for testing or a feature branch requires provisioning a new cluster and restoring from backup. StackGres focuses on production cluster management, not developer workflow features like branching or self-service environments.
StackGres and CloudNativePG serve different philosophies. CloudNativePG is minimal — it manages HA PostgreSQL and lets you configure everything else (PgBouncer, monitoring, storage) separately. StackGres is opinionated — it deploys the full stack (PgBouncer, Envoy, Prometheus, Grafana, Fluentd) automatically with a web UI. CloudNativePG has much stronger community momentum (CNCF sandbox, EDB-backed) and a larger ecosystem. StackGres is better for teams wanting an all-in-one solution with less integration work.
AGPL requires that if you modify StackGres and expose it as a service (SaaS), you must release your modifications under AGPL. For internal use or self-hosting without exposing the software as a service, AGPL typically does not require releasing your application code. However, legal teams at many enterprises flag AGPL as a concern. CloudNativePG (Apache 2.0) and Zalando operator (MIT) have more permissive licenses for commercial use.
StackGres has a heavier resource footprint than CNPG or Zalando because it deploys PgBouncer, Envoy, Fluentd, and Prometheus as sidecars alongside each PostgreSQL cluster. Each StackGres cluster typically requires significantly more CPU and memory than a bare CNPG cluster with the same PostgreSQL workload. For resource-constrained environments or small clusters, CNPG or Zalando are more efficient. StackGres's overhead makes sense when you need the full monitoring and pooling stack anyway.
If your team needs more than cluster management, evaluate whether a product-like Postgres workflow is the better path.