Declarative data pipelines as YAML.
The Modern Data Stack promised agility but delivered complexity. You're left wrestling with fragmented tools, opaque data lineage, and vendor lock in. It's time to evolve.
Starflow is the Declarative Data Stack a foundational rethinking of data engineering that delivers production grade data faster, simpler, and more securely than ever before.
Declarative Data Stack
Unified, simple, and powerful data engineering
See it in action
Three ways to ship a pipeline
Talk to a Starflow persona, ask Starflow what to do next, or call a CLI skill directly. Every interaction below is the real prompt and the real shape of the response.
Talk to a Starflow persona
Five expert AI personas cover the data lifecycle. Winston the Data Architect lays out two or three options with trade-offs before naming a recommendation, and names the failure mode of every choice.
Meet the personas →Ask Starflow what to do next
Starflow reads a manifest of skill dependencies and scans the artifacts you've already produced. It recommends the next required step based on real state, not a fixed checklist, so it works whether you started at discovery or jumped in mid-stream.
See the manifest model →Or call a CLI skill directly
For quick, targeted tasks, skip the methodology. Each of the 49 CLI skills knows the exact flags, YAML schema, and write strategies for its Starflow command. Ask in plain English; receive correct configuration on the first try.
Browse the catalog →Developer Tools
AI-Powered Data Engineering
Starflow meets you where you work. An intelligent VSCode extension and 48 AI skills for Claude Code give your team superpowers.
VSCode Extension
Your entire data platform, inside your editor
Build, test, and deploy data pipelines without leaving VSCode. Auto-infer schemas, preview SQL, visualize lineage, and deploy DAGs with a single click.
Schema Inference
Auto-generate YAML configs from data sources
SQL Preview & Dry Run
Validate transformations before execution
Visual Lineage & ER Diagrams
Understand data flow at a glance
One-Click DAG Deploy
Generate and deploy Airflow/Dagster workflows
Results Viewer
Inspect query results inside the editor
ACL Management
Review and manage access control visually
AI Skills
48 skills that make Claude Code a Starflow expert
Install the Starflow Skills plugin and Claude Code instantly knows every CLI command, YAML pattern, write strategy, and best practice. It generates correct configurations on the first try.
8 Ingestion Skills
autoload, load, ingest, stage, kafkaload and more
7 Transform & Extract
transform, extract, extract-data, extract-schema
5 Lineage & Quality
lineage, col-lineage, expectations, table-deps
10 Ops & Orchestration
dag-generate, dag-deploy, serve, metrics, freshness
6 Schema & Security
bootstrap, infer-schema, secure, iam-policies
12 Utilities & Config
config, connection, compare, test, validate
The Old Way vs. The Starflow Way
See the dramatic difference in approach, complexity, and results
Compare the fragmented Modern Data Stack approach with Starflow's unified Declarative Data Stack solution.
The Old Way
Modern Data Stack complexity
Fragmented Quality
Separate tools for ingestion, quality, and transformation create gaps where bad data slips through.
Template Lock in
SQL tangled in Jinja/Python templates that only work in specific tools.
Expensive Development
Every change requires expensive warehouse compute cycles for testing.
Tool Sprawl
Multiple separate tools for each function, creating integration complexity.
The Problem
The Modern Data Stack approach creates complexity, vendor lock in, and expensive development cycles that slow down your team and increase costs.
Ready to Build the Future of Data? 🚀
Leave the complexity of the Modern Data Stack behind. Embrace a simpler, faster, and more reliable way to deliver production grade data.
Join the teams already building with Starflow's Declarative Data Stack approach.
Start Your Journey Today
Experience the power of the Declarative Data Stack. See how Starflow can transform your data engineering workflow in just 30 minutes.
Free to get started. Open source, no vendor lock in, and works with your existing infrastructure.