Redbird AI syncs dbt model outputs, test results, and documentation directly to Google Drive—automatically. Stop manually exporting data quality reports, copying lineage diagrams, or sharing model definitions across spreadsheets and slides.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically send test pass/fail status, row counts, and quality metrics to a shared Google Sheet after each dbt run. Analytics stakeholders see data quality status without accessing the warehouse or dbt Cloud.
Export visual lineage graphs and model dependency trees from dbt as PDF documentation whenever models change. Keep business teams aligned on upstream/downstream impacts without navigating dbt docs sites.
Save compiled SQL from production dbt models to versioned folders in Google Drive after deployment. Create an accessible audit log that compliance and data governance teams can review without warehouse access.
Update a monitoring Google Sheet and trigger notifications when revenue-critical dbt models fail quality tests. Product and finance teams get immediate visibility into data issues affecting their dashboards.
Pull YAML documentation, business logic, and standardized metric definitions from dbt into Google Docs templates. Maintain single-source-of-truth documentation accessible to non-technical stakeholders across the organization.
Monitor specific Google Drive folders for new or updated CSV exports and automatically kick off targeted dbt runs to refresh dependent models. Keep analytics pipelines responsive to external data drops without manual intervention.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Google Drive with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands dbt's transformation logic, test frameworks, and metadata structures—and knows how to format them for Google Drive's collaboration workflows.
Redbird parses dbt manifest.json, run results, and catalog metadata to extract model definitions, column descriptions, test outcomes, and lineage relationships. It automatically formats this technical output into stakeholder-friendly Google Sheets, Docs, and organized folder structures. No need to build custom exporters or manually translate YAML configs into presentation formats—Redbird maps dbt's analytical metadata to collaborative documents your entire team can access.
faster than exporting dbt metadata and formatting reports manually
Redbird can pull from dbt and Google Drive simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either dbt or Google Drive.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from dbt into Google Drive, or from Google Drive back into dbt. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from dbt model runs and test completions, or kick off transformations when files land in Google Drive.
Trigger when any dbt model finishes running, whether successful or failed.
Fire when a data quality test fails during a production dbt job execution.
Start workflows when dbt docs are rebuilt with updated model metadata.
Execute targeted dbt runs for specific models or tags via API.
Run data quality tests against specified models or the entire project.
Generate compiled SQL from dbt model files without executing them.
Trigger when a new file appears in a monitored Google Drive folder.
Fire when specific cells or ranges change in a Google Sheet.
Start workflows when an existing Drive file is edited or a new version is saved.
Write structured data to new or existing Google Sheets with formatting.
Create Google Docs by populating templates with dynamic content.
Move or copy files into structured folder hierarchies based on metadata.
Sync dbt model metadata and test results to Google Drive automatically. Give your entire organization visibility into data quality and transformation logic without manual exports.