The problem isn't more tools on top. Every change to your infrastructure ends up in a flat state file. Change history, drift detection, blast radius, incident review — they all inherit that limitation.
When prod misbehaves, you need to know what infrastructure changed in the last hour. Today that requires grepping CI logs across teams.
Drift surfaces in the next plan, which might be days away. By then the gap between intent and reality has widened.
Knowing what depends on what is tribal knowledge. When something breaks, the answer lives in someone's head, not in a system.
When prod is on fire, a 15-minute plan is unacceptable. Every plan refreshes the entire state just to change three resources.
You can see whether a run succeeded. You cannot query what you actually have.
A cross-service fix in the middle of an incident becomes a pipeline of wrappers, waits, and rollback risk.
These are not independent problems. They are symptoms of the same missing layer: a real data model underneath.
Terraform is a distributed systems problem pretending to be a JSON file.
Today's tools wrap the JSON file in a UI, a runner, and a pile of add-ons. Stategraph replaces the JSON file with a real database. Every capability below falls out of that single decision.
| File-based tools | Stategraph | |
|---|---|---|
| State model | Flat state blob per workspace | Structured, normalized database |
| Lock model | Global workspace lock | Graph-scoped, resource-level |
| Plan scope | Refresh and plan the whole state | Operate on the affected subgraph |
| Visibility | Run history and a log viewer | SQL across every resource and state |
| Governance | Layered add-on products | Capabilities that emerge from the data model |
| Multi-state change | One workspace at a time | One atomic transaction across states |
Today's infrastructure teams stitch together half a dozen tools for plans, policy, cost, drift, inventory, audit — and now, governance over their developers' AI agents. Each one parses the same state file, badly. Stategraph collapses that sprawl into one database. Every capability below is the same data model answering a different question.
Change three resources, touch three resources. Skip the 3,000 you did not touch. Disjoint subgraphs run in parallel without waiting on a global lock. No path globs, no change-detection config — Stategraph reads the graph and runs only what your change actually reaches.
Plan and apply across states in one atomic transaction. Dependency-aware execution, run from PRs, without hand-built pipeline glue.
Resource-level RBAC. Blast-radius analysis on the actual graph, not a static file scan. See what a change reaches before it ships.
Compliance and internal policy run against real infrastructure data. Full attribution, full history, exportable evidence.
Cost attached to the resource graph, not a flat line item. See spend by change, by owner, by dependency, across every state.
SQL across every state, every resource, every environment. Gap analysis finds unmanaged resources and drift automatically.
Your developers' AI agents are changing infrastructure whether you authorize them or not. Stategraph is the system in between — same policy, same audit trail, same approval flow as your human engineers, applied automatically to every agent action.
None of these are add-ons. They are the data model doing its job — for every client that touches your infrastructure, human or otherwise.
Adoption is incremental. Stategraph imports your existing state on day one and runs your existing HCL with a database underneath. Same providers, same workflow, same modules — now queryable, governable, and live. Move root modules over at your pace.
Terraform & OpenTofu
Same HCL, same providers, same CLI. Drop-in for the runtime you already use.
Reversible import
Ingest your existing .tfstate and export it back anytime. Never locked in.
Your HCL works as-is
Same modules, same providers, same plan and apply.
Queryable from day one
The moment state is imported, every resource is queryable. No re-tagging, no second pipeline.
Swap the backend
Point your backend block at Stategraph and ship.
Adopt at your pace. Move root modules over one at a time. stategraph states export returns any state to plain .tfstate whenever you want.
Same infrastructure. Same change. The data model does the work.
Stategraph is infrastructure software. It ships like infrastructure software. Enterprise control, security, and compliance teams get the deployment model they need, not the one the vendor prefers.
Fully managed SaaS. Free tier is shared-tenant; paid tiers run single-tenant with your own isolated instance and Postgres database. The fastest way to get started.
Start free →Run Stategraph in your VPC on your PostgreSQL. State never leaves your network. Full control over upgrades, secrets, and access.
Talk to sales →Bring Your Own Cloud. We operate Stategraph inside your AWS, GCP, or Azure account with private connectivity. You own the data, we run the software.
Talk to sales →Bring a state file. In under 30 minutes you will see change correlation across teams, blast-radius queries against your real graph, parallel applies, and live infrastructure running against your own resources.