Redbird AI syncs dbt transformations, test results, and documentation with Dropbox automatically. Stop manually exporting compiled SQL, copying documentation files, or downloading test outputs to share with stakeholders.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically save versioned copies of compiled SQL files to designated Dropbox folders whenever dbt runs complete in production. Maintain a historical archive of transformation logic accessible to audit teams and data governance stakeholders without warehouse access.
Push generated documentation HTML, manifest.json, and catalog files to team Dropbox folders after every docs generation. Keep business users and analysts up-to-date on data lineage and model definitions without managing separate hosting infrastructure.
Generate Excel or CSV summaries of dbt test failures and warnings, then save them to stakeholder Dropbox folders. Finance and operations teams get readable test result reports without needing to parse dbt Cloud logs or warehouse query outputs.
Watch designated Dropbox folders for new CSV, JSON, or Parquet files, then initiate dbt runs to process the uploaded data. Enable semi-automated data pipelines where source teams drop files and transformations execute automatically.
Capture execution times, row counts, and resource consumption from dbt runs and save structured logs to Dropbox. Analytics engineering teams can analyze pipeline performance trends using their preferred tools without building custom logging infrastructure.
Create or update Dropbox Paper documents with test failure details, affected downstream models, and remediation context when critical dbt tests fail. Keep cross-functional teams informed about data quality issues in collaborative documents they already monitor.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Dropbox 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 AI understands dbt project structures, manifest schemas, and run artifacts — plus Dropbox folder hierarchies, file versioning, and sharing permissions.
Redbird automatically maps dbt manifest.json schemas, compiled model directories, and test result formats to appropriate Dropbox folder structures. The AI understands model dependencies from lineage graphs, extracts metadata from run_results.json artifacts, and organizes files by project, environment, or tag. It handles incremental syncing of documentation sites and intelligently versions archived SQL based on git commits or run timestamps.
faster than scripting dbt artifact exports and Dropbox API calls
Redbird can pull from dbt and Dropbox 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 Dropbox.
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 Dropbox, or from Dropbox 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, test completions, or Dropbox file events — Redbird handles the routing and data transformation.
Fires when a dbt run finishes, whether successful, failed, or completed with warnings.
Triggers when any dbt test returns failures in production environment runs.
Fires after dbt docs generate completes and new documentation artifacts are available.
Execute dbt run with model selectors, tags, or specific model names.
Generate compiled SQL files from Jinja templates without running transformations.
Run data quality tests on specific models, sources, or tagged model groups.
Fires when a new file appears in a monitored Dropbox folder or subfolder.
Triggers when an existing file in Dropbox is edited, replaced, or versioned.
Fires when sharing permissions change on monitored folders or files.
Save files to designated Dropbox folders with custom naming and folder structure.
Write content to new or existing Dropbox Paper documents with formatting.
Adjust sharing permissions and send access links to specific users or groups.
Sync dbt with Dropbox in minutes. Redbird AI handles the transformation logic, file formatting, and folder organization so your team gets reliable documentation and test results exactly where they need them.