Stategraph Velocity
Terraform and OpenTofu plans in seconds, not minutes. Replace the flat state file with a database-backed dependency graph. Independent changes run in parallel.
The Speed Difference
Same infrastructure. Same change. Dramatically different wait time.
What Makes Velocity Fast
Subgraph Execution
Only process resources affected by your change. The dependency graph tells us exactly which resources need to be evaluated—skip the rest.
Parallel Operations
When changes don't overlap, run them simultaneously. Multiple teams can work on the same codebase without waiting in a queue.
Resource-Level Locking
Lock only what you need. No more global state locks that block everyone while one person runs a plan on a single resource.
Incremental Refresh
Refresh only changed resources, not the entire state. For large deployments, this means seconds instead of minutes.
SQL-Queryable State
Your infrastructure state lives in PostgreSQL. Query it directly, build dashboards, integrate with your existing tools.
Drop-in CLI
Replace `terraform` with `stategraph`. Same commands, same workflow, dramatically faster execution.
How It Works
Traditional Terraform backends store state as a flat JSON file. Every operation loads the entire file, locks globally, and processes resources serially.
Stategraph Velocity stores state as a directed acyclic graph in PostgreSQL. When you run a plan, we compute the minimal "change cone": only the resources affected by your changes. Independent subgraphs can execute in parallel, with resource-level locks that don't block unrelated work.
Start with Stategraph Inventory today. Add Velocity when it launches.