Stop waiting on
Terraform plans
Stategraph transforms Terraform planning from a full-state operation to an intelligent, incremental process. Only refresh what changed. Only plan what matters.
Real-time Planning Comparison
Traditional Terraform
Stategraph
How It Works
Graph-Based State
Terraform state stored as a directed acyclic graph in PostgreSQL. Resources and dependencies become queryable entities with row-level locking instead of a monolithic file.
Subgraph Isolation
Changes compute the minimal affected subgraph through dependency traversal. Refresh and plan operations only touch resources in the change cone, not the entire state.
Granular Locking
Lock acquisition follows the dependency graph with topological ordering. Teams can modify independent subgraphs simultaneously without blocking each other.
MVCC Transactions
PostgreSQL's multi-version concurrency control enables consistent reads without blocking writes. Multiple operations proceed in parallel on non-overlapping resource sets.
The Algorithmic Advantage
Traditional Terraform: O(n) where n = total resources
Stategraph: O(k) where k = resources in change cone
Most infrastructure changes affect a small subgraph. By traversing only the dependency cone instead of the entire state, operations complete proportionally faster.
Stop coordinating. Start shipping.
Resource-level locking. Graph-based state. SQL queries on your infra.
Teams work in parallel. No more lock contention.
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