Observed Signal · May 28, 2026 · Technical Release · Source: DEV Community · Impact: 3/5 · Sentiment: Positive
Open-source DataLineage Tool Replaces Spreadsheet Lineage
This technical post argues that manual data lineage maintained in spreadsheets is brittle and proposes an automated approach using an open-source project called DataLineage. The author explains three distinct lineage layers (technical, operational, business) and demonstrates a simple workflow: connect a warehouse via a LineageClient, tag sensitive assets, and run a crawler that introspects query history to build a continuously-updated lineage graph with historical backfill. Example code shows read-only query-history introspection for Snowflake, tagging of PII and financial tables, and generating compliance reports or programmatic lineage queries. The DataLineage core, connectors (Snowflake, BigQuery, Redshift, dbt, Airflow), and a local Docker Compose setup are available on GitHub. Publication date: 2026-05-28.
Automated lineage tooling and an open-source implementation materially reduce audit effort and operational risk for data platforms; connectors to major warehouses and orchestration tools make it practically useful but it is not a platform-level industry shift.
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Key Takeaways & Evidence Grounding
- The article presents an open-source project named DataLineage that automates data lineage.
- DataLineage uses read-only query-history introspection (not a proxy) to build lineage graphs.
- Provided connectors include Snowflake, BigQuery, Redshift, dbt, and Airflow.
- The post includes example code (LineageClient) showing source connection, asset tagging, crawler start, and compliance-report generation.
- The DataLineage core and connectors are published on GitHub at github.com/datalineage/datalineage-core.
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