Dev tools · September 14, 2025
Datadef.io – Canvas for data lineage and metadata management
Hi HN, I’ve been working on https://datadef.io, a tool to help data team (engineer, architect, project manager) make sense of their data universe. The problem: - Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast). Datadef.io aims to fix that by providing: - Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata…
In plain words
Datadef.io is a canvas-based tool for mapping data lineage and metadata across data warehouses, dbt models, and SQL environments. Designed for data engineers, architects, and project managers, it provides interactive visualization of table relationships, automatic dependency tracking, and centralized metadata management including ownership and KPIs. The tool generates documentation that stays synchronized with data models and allows teams to export and share information beyond scattered spreadsheets and PDFs.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, I’ve been working on https://datadef.io, a tool to help data team (engineer, architect, project manager) make sense of their data universe. The problem: - Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast). Datadef.io aims to fix that by providing: - Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table/column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export/share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs. It’s still early, and I’d love feedback from the HN community. In particular: What’s missing for you in lineage/metadata/documentation tools? How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)? I’d really appreciate your thoughts, feature requests, and criticism. Thanks!
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