Redbird AI syncs your lakehouse data, ML outputs, and feature tables from Databricks directly into Power BI dashboards and datasets. Stop exporting CSVs, rebuilding data models manually, or writing custom connectors to keep reports current with your latest transformations.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger dataset refreshes in Power BI whenever Delta tables complete processing or new data lands. Keep executive dashboards and operational reports in sync with your lakehouse without manual refresh schedules or stale data.
Push batch prediction outputs and model scores from Databricks ML workflows into Power BI datasets automatically. Analytics teams see the latest churn scores, forecasts, or recommendations without waiting for data engineering.
Query Databricks SQL endpoints, aggregate results, and update Power BI datasets with pre-calculated metrics. Reduce compute costs and improve dashboard performance by pushing summarized data instead of direct querying.
When business users apply specific filters or drill into segments in Power BI, automatically kick off Databricks jobs to generate detailed analysis or refresh underlying data slices. Enable self-serve deep dives without analyst involvement.
Monitor Power BI refresh status and send alerts to Databricks workflows or Slack channels when failures occur. Trigger automated diagnostics or fallback data pipeline jobs to investigate and resolve data quality issues.
Export Power BI workspace activity, report views, and user engagement data into Delta tables. Build historical usage models, forecast capacity needs, and optimize report performance using Databricks analytics on months of telemetry.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Power BI 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 Databricks table schemas, job runs, and ML model outputs alongside Power BI dataset structures, refresh semantics, and workspace permissions.
Redbird maps Databricks table columns, partition keys, and Unity Catalog metadata to Power BI datasets, measures, and relationships automatically. The AI recognizes when Delta table schemas evolve, updates corresponding dataset fields, and handles type conversions between Spark SQL and Power Query M without custom code. Whether you're syncing bronze layer raw data or gold layer aggregations, Redbird adapts to your lakehouse architecture.
faster than building Direct Query connections or custom XMLA endpoint scripts
Redbird can pull from Databricks and Power BI 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 Power BI.
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 Power BI, or from Power BI 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 workflows from Databricks job completions, table updates, or Power BI refresh events and take action across both platforms.
Fires when a Delta table writes new data or schema changes are committed in Unity Catalog.
Triggers when a scheduled or manual job run finishes successfully or fails in your workspace.
Activates when a new model version is logged to MLflow Model Registry or transitions stages.
Execute SQL against a SQL Warehouse and return results for downstream processing or sync.
Start a notebook, DLT pipeline, or JAR job with custom parameters passed from external events.
Append or merge data into a Delta table using optimized batch writes and schema enforcement.
Fires when a Power BI dataset finishes refreshing, whether successful or failed.
Triggers when a specific report or dashboard exceeds a view count or unique user threshold.
Activates when a Power BI Dataflow completes its refresh cycle in a Premium workspace.
Initiate an on-demand dataset refresh to pull the latest data from connected sources.
Modify dataset connection strings, filter values, or query parameters programmatically.
Deploy or update a Power BI report file to a specific workspace with version control.
See how Redbird AI syncs Databricks and Power BI in minutes. Stop building custom connectors and start automating the data workflows that keep your lakehouse and dashboards in perfect sync.