Build metadata-driven data pipelines with confidence. Define logic once, generate repeatable execution, and scale across environments without rewriting everything by hand.
HeptaFlow is a framework for pipeline generation and governance. Start with metadata, build reproducible transformations, and keep the implementation consistent across teams.
Describe sources, keys, temporality, and rules once. Generate consistent SQL / jobs without drift.
Predictable results across environments with strict conventions, naming, and validations.
Track what changed, why it changed, and how it propagates through steps and targets.
Most teams lose time on repeated boilerplate: keys, merges, incremental windows, and “step glue”. HeptaFlow aims to make pipeline behavior explicit and reproducible — so engineers can focus on value.
Unify naming, merge rules, delta windows, and data contracts across all steps.
Generate step scaffolding and reduce manual coding and copy/paste errors.
Make changes auditable with validation, dependency awareness, and repeatable builds.
Design for growth: multiple teams, many domains, and long-lived historical datasets.
High-level milestones. This page will evolve as the project moves forward.
Metadata model, step chaining, naming conventions, deterministic output generation.
Schema checks, rule validation, lineage, and repeatable build artifacts.
Private beta access, documentation, reference projects, and onboarding workflow.
Want updates or early access? Send a message to: contact@heptaflow.com