Product
Getting started
Create an account, register your first pipeline, and connect your orchestrator.
What you need
DataXPipe is a pipeline catalog with lineage, quality checks, and failure explanations. Register what you run, track execution history, and catch silent data failures before stakeholders do.
- A DataXPipe account (organization + API key)
- Optional: a warehouse (Postgres, Snowflake, BigQuery, etc.)
- Optional: existing dbt project or Airflow DAG to import
1. Create your organization
Sign up at app.dataxpipe.com/signup. You receive an API key immediately — store it securely.
Sign in at app.dataxpipe.com/login with your API key. Find it again anytime under Settings.
2. Try the guided path
Open Get started in the app sidebar. The wizard walks through:
- Import — stale-table demo or paste a dbt manifest
- Checks & lineage — auto-generated from imported metadata
- AI explain — simulate a freshness failure and get remediation steps
- Passport — issue a shareable trust warrant after recovery
- Register — save the pipeline to your catalog
3. Upload a pipeline spec
Go to Pipelines → Create pipeline. Paste or upload YAML, click Validate, then Register pipeline.
See the Pipeline specs guide for the full schema and check types.
4. Verify in the catalog
After registration, open Pipelines. You should see your pipeline with source/target counts and lineage edges.
Use Runs to view execution history once your orchestrator reports back (see step 5).
5. Connect execution (Airflow or your scheduler)
Registering a spec stores metadata in DataXPipe — it does not run ETL in your warehouse.
Connect Airflow, dbt, Prefect, or any scheduler that can POST run events to the Catalog API. The Run button in the app is a quick smoke test for the catalog only.