4 SQL Lineage Tools for Google Cloud SQL

Dataedo

https://dataedo.com/product/data-lineage

Dataedo provides SQL lineage tracking by visualizing how data flows through queries, transformations, and databases. This enhances transparency, supports troubleshooting, and ensures data accuracy across SQL-based environments.

Automatic discovery:
Data flow visualization:
Environment:	On-premises
Free edition:
Metadata management:
Version control integration:

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Monte Carlo

https://docs.getmontecarlo.com/docs/field-lineage

Monte Carlo is a data observability platform that offers field-level data lineage functionality, making it faster and easier to conduct root cause and impact analysis for critical data issues. With field-level lineage fully automated, data engineers and analysts can confidently make changes to tables without losing trust and visibility in their data at each stage of its life cycle.

Automatic discovery:
Data flow visualization:
Environment:	Online
Free edition:
Metadata management:
Version control integration:

Go to vendor website

Fivetran

https://www.fivetran.com/data-movement/transformations

Fivetran is the automated data movement platform moving data out of, into and across your cloud data platforms. It allows you to monitor data movement, logs, and status from connector extract to successful warehouse load through modeling — all in one data lineage graph (DLGs). DLGs show the dependencies between your dbt models so that you can track the flow of data from your connectors to your destination.

Automatic discovery:
Data flow visualization:
Environment:	Online
Free edition:
Metadata management:
Version control integration:

Go to vendor website

Octopai

https://www.octopai.com/

Octopai Data Lineage XD is the most complete, in-depth, and automated lineage tool that provides end-to-end lineage at the system level from the entry point into the data landscape, all the way to reporting and analytics. Its cross-system lineage reflects data flows and dependencies using automated and augmented methods to provide the most extensive cross-system view of the entire data landscape.