“Column-level lineage gives confidence in the whole system. If my stakeholders ask “why is this dashboard out of date?” I can answer in 25 seconds instead of digging through PRs for hours. As a product owner, I can understand how the rest of the company makes decisions based on the data we produce. It brings data confidence and visibility to the company.”
Director of Data Science
Get same-day column-level lineage
No developer resources needed, simply connect your data warehouse and you can explore your lineage graph. SOC 2 compliant, Datafold analyzes every SQL statement in your data warehouse and produces the graph of dependencies. See how data is produced and consumed - even correlated subqueries, CASE WHEN statements, and other complex queries are covered.
Explore dependencies across thousands of tables and columns with ease
Get a high-level overview of your pipelines, zoom in on particular tables, trace flow on a columnal level and see the SQL statements for each step
Bring the lineage where you need it
Using Datafold's GraphQL Metadata API, you can query and export lineage into other systems and data catalogs such as Amundsen & DataHub.
Build confidently with column-level lineage
- Easily trace upstream and downstream dependencies in your warehouse
- Track PII data through the pipeline
- See downstream impact of any change to raw data or transformations
- Align data producers and data consumers
- Identify and prioritize migrations based on usage and dependencies
- Depreciate unused and stale data
Trusted by high-growth data teams
"Datafold makes it a lot easier to understand the impact of your change on downstream data. The tool is super easy to use and does a great job highlighting exactly where there are differences in your data in a digestible way."
Lead Data Analyst
“Datafold's column-level lineage gives confidence in the whole system. If my stakeholders ask “why is this dashboard out of date?” I can answer in 25 seconds instead of digging through pull requests for hours. As a product owner, I can understand how the rest of the company makes decisions based on the data we produce. It brings data confidence and visibility to the company.”
Director of Data Science
“When everything is correct, Datafold clearly saves time on testing; but when something is wrong or there’s an error, it saves unimaginable amounts of time that would go into finding and fixing bad data.”
"While Datafold is still young and the tool is in its early stage, the foundation of the business is super sound. The core platform is so valuable. Datafold is solving a problem that no one else is trying to solve."
Sr. Data Engineer
"Datafold is a game-changer— there is so much value in actually understanding the effect of your pull request. It gives me the confidence that my code does what I expect it to do."
Built for Analytics Engineers