Redbird AI automatically syncs your Databricks analytics, model outputs, and transformed datasets to Google Drive folders—no more manual CSV exports, file uploads, or broken deliverable pipelines. Let your data team focus on insights while automated workflows handle distribution.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When a model training job completes in Databricks, automatically package performance metrics, feature importance charts, and validation results into a timestamped folder in Google Drive. Keep leadership and product teams updated without manual report generation.
After your ETL pipeline finishes processing data in Databricks, export clean datasets as CSV or Parquet files to designated Google Drive folders. Enable marketing, sales, and operations teams to access validated data in tools that read from Drive.
Schedule nightly exports of feature engineering outputs, aggregated analytics tables, and pipeline logs from Databricks to dated Google Drive folders. Maintain an organized, timestamped archive for compliance and historical analysis without manual intervention.
When CSV, JSON, or Parquet files are added to a monitored Google Drive folder, automatically kick off Databricks ingestion and transformation pipelines. Perfect for vendor data drops, manual uploads from field teams, or partner file exchanges that need immediate processing.
Run scheduled Databricks notebooks that assess data quality metrics, completeness checks, and anomaly detection, then export formatted reports with visualizations to executive Google Drive folders. Automate the entire reporting cadence from computation to delivery.
When business analysts update feature definitions, business rules, or segmentation criteria in Google Sheets within Drive, automatically feed those configurations into Databricks jobs. Bridge the gap between business logic maintained in spreadsheets and production ML pipelines.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 both Databricks job outputs and notebook structures alongside Google Drive's folder hierarchy and file formats—intelligently mapping between lakehouse tables and shareable documents.
Redbird automatically detects when Databricks Delta tables are updated, jobs complete, or notebooks finish execution, then intelligently formats and routes outputs to the right Google Drive locations. Our AI understands Spark DataFrame schemas, common export formats like Parquet and CSV, and how to organize outputs in Drive's folder hierarchy with proper naming conventions. You define the workflow once—Redbird handles schema changes, file formatting, permissions, and folder organization as your data evolves.
faster than scripting manual exports and uploads from Databricks to Drive
Redbird can pull from Databricks 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 Databricks 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 Databricks into Google Drive, or from Google Drive 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 any Databricks job completion or Google Drive file event—Redbird connects them intelligently.
When a Databricks job finishes running, whether scheduled or on-demand.
When a specific notebook completes execution in your Databricks workspace.
When new data is written to or existing records are modified in a Delta Lake table.
Run a SQL query against your lakehouse and export results as formatted files.
Start execution of a specific Databricks job with optional parameters.
Export a full or filtered Delta table snapshot in your chosen format.
When a new file appears in a monitored Google Drive folder or subfolder.
When an existing file in Drive is updated or edited by any team member.
When a new row is appended to a Google Sheets file stored in Drive.
Create a new file in a specified Drive folder with proper naming and formatting.
Generate a new subfolder with date-based naming for organized deliverable archives.
Write data to specific cells or append rows in a Google Sheets file.
Stop manually exporting Databricks outputs and uploading to Drive. Redbird AI connects your lakehouse to your team's shared folders—intelligently automating the data distribution your stakeholders depend on.