Redbird AI syncs your dbt models, tests, and lineage directly into Tableau so analytics engineers and dashboard creators stay aligned. Stop manually coordinating model changes, copying documentation, or chasing down data quality issues between systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger Tableau extract refreshes immediately after dbt models complete successfully in production. Ensures dashboards always reflect the latest transformed data without manual refresh coordination or stale extracts.
When dbt data quality tests fail, automatically add alerts or annotations to affected Tableau dashboards. Business users see data quality warnings before making decisions on potentially invalid data.
Automatically push dbt model column descriptions and documentation into Tableau as field comments and metadata. Analysts building dashboards see the same definitions and context that analytics engineers defined in dbt.
Pull Tableau dashboard view counts, user activity, and data source usage into dbt models for governance reporting. Track which dbt models power the most-viewed dashboards and identify unused data products.
Map which Tableau dashboards and workbooks consume each dbt model to create end-to-end lineage. Analytics engineers see downstream dashboard impact before making breaking changes to data models.
Update Tableau workbook tags and metadata with dbt model freshness and last-run timestamps. Dashboard viewers know exactly when underlying data was last transformed and whether it's current.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Tableau 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 model definitions, test results, and lineage DAGs alongside Tableau's workbook structures, data sources, and published extracts to keep your transformation layer and visualization layer in sync.
Redbird parses your dbt manifest files to understand model definitions, column types, test configurations, and dependencies. It maps these to Tableau published data sources, extracts, and workbook connections — understanding which dashboards rely on which models. When dbt schemas change or tests fail, Redbird knows exactly which Tableau assets need updates, refreshes, or quality warnings.
faster dashboard updates vs manual dbt-to-Tableau coordination
Redbird can pull from dbt and Tableau 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 Tableau.
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 Tableau, or from Tableau 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 any dbt model run or Tableau workbook event and take action across both platforms.
Trigger when any dbt model or specific models finish running successfully or with errors.
Fire when data quality tests fail on specific models or any test in your dbt project.
Detect when columns are added, removed, or modified in dbt model definitions.
Write custom metadata, tags, or properties back to dbt model YAML files or database.
Initiate dbt Cloud or CLI runs for specific models, tags, or full project refreshes.
Record model dependencies, run statistics, or test results to external systems.
Trigger when new workbooks are published or existing ones are updated on Tableau Server or Cloud.
Fire when scheduled extract refreshes fail or encounter errors for any data source.
Detect when published data sources are edited, including connection or field changes.
Trigger full or incremental extract refreshes for specific data sources or workbooks.
Modify workbook descriptions, tags, field comments, or data source properties programmatically.
Add or update data-driven alerts on dashboards based on external conditions or events.
Stop manually coordinating between your transformation layer and dashboards. Redbird keeps dbt and Tableau synchronized so your analytics engineering and BI teams work from the same source of truth.