Redbird AI syncs your Databricks lakehouse with Tableau dashboards automatically. Stop manually exporting Delta tables, scheduling refresh jobs, and rebuilding extracts every time your feature store or analytics tables update. Keep your visualizations current with the latest transformed data and ML outputs.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When your Databricks pipeline finishes transforming customer or product data, Redbird publishes updated Delta tables directly to Tableau as optimized extracts. Business teams see refreshed dashboards without waiting for manual exports or scheduled overnight jobs.
As your ML models generate new predictions in Databricks—churn scores, demand forecasts, or anomaly flags—Redbird syncs those outputs to Tableau in real time. Executives monitor model performance and business impact through always-current visual dashboards.
When dashboard views exceed thresholds or data staleness alerts fire in Tableau, Redbird kicks off targeted Databricks jobs to refresh the underlying datasets. Your most-watched dashboards stay current based on actual business demand, not arbitrary schedules.
When feature engineering pipelines update your Databricks Feature Store, Redbird pushes feature statistics and lineage metadata to Tableau. Data science teams share feature quality metrics and model inputs with stakeholders through visual monitoring dashboards.
Redbird logs which dimensions and filters analysts use most in Tableau workbooks, then triggers Databricks jobs to pre-aggregate those combinations. Your lakehouse optimizes around actual usage patterns, speeding up the dashboards people rely on.
When Delta table schemas evolve in Databricks, Redbird compares structures against connected Tableau data sources and alerts teams to mismatches before dashboards break. Engineers fix compatibility issues proactively instead of responding to user complaints.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 both Databricks lakehouse structures and Tableau's data source architecture—from Delta Lake schemas to published extracts and live connections.
Redbird parses your Databricks Unity Catalog schemas, table metadata, and notebook lineage alongside Tableau workbook structures, calculated fields, and data source configurations. It maps Delta Lake partitions to Tableau extract refresh strategies, identifies when ML feature tables should update specific dashboards, and translates Spark data types to Tableau-optimized formats. No manual field mapping or brittle API scripts needed.
faster than scripting Databricks exports and Tableau refresh schedules
Redbird can pull from Databricks 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 Databricks 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 Databricks into Tableau, or from Tableau back into Databricks. 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 from any event in Databricks or Tableau—Redbird connects lakehouse transformations to visualization updates and vice versa.
When a Databricks job finishes running—ETL pipeline, ML training, or notebook execution.
When data is written to a Delta Lake table via merge, insert, or streaming append.
When a new model version is logged to MLflow Model Registry in Databricks.
Execute a Databricks job, notebook, or DLT pipeline with specified parameters.
Insert or merge rows into a Delta Lake table in your lakehouse.
Push new feature values to a Databricks Feature Store table.
When a Tableau extract finishes refreshing on Tableau Server or Cloud.
When a specific workbook or dashboard is opened by users above a threshold.
When a Tableau data connection or extract encounters an error during refresh.
Create or refresh a Tableau data extract from new source data.
Trigger a data source refresh for published workbooks and dashboards.
Modify connection settings, credentials, or server details for Tableau data sources.
Sync Databricks and Tableau in minutes. Redbird handles lakehouse-to-dashboard pipelines so your teams work with current data, not yesterday's exports.