Automate the flow between your lakehouse and cloud storage. Stop manually exporting model artifacts, downloading pipeline outputs, or uploading training datasets — Redbird AI syncs Databricks jobs, notebooks, and tables with Dropbox folders automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When a model training job completes in Databricks, automatically package the model files, metrics, and evaluation reports, then upload them to designated Dropbox folders. Share production-ready models with stakeholders without manual downloads and uploads.
Automatically export transformation results, aggregated datasets, and analytics outputs from Databricks workflows to specific Dropbox folders. Give non-technical teams access to curated data without direct lakehouse access or complex permissions.
When new data files appear in monitored Dropbox folders, automatically validate schemas, transform formats, and load them into Databricks Delta tables. Turn Dropbox into a managed ingestion point for business-uploaded datasets.
Automatically export notebook snapshots from workspaces to versioned Dropbox folders on a daily or weekly cadence. Maintain external backups of critical data science work with full change history outside the platform.
Run scheduled Databricks SQL queries or notebook jobs, render results as formatted PDFs or Excel files, and publish to team-specific Dropbox folders. Automate recurring business reporting without BI tool setup or email attachments.
When external collaborators drop data files into shared Dropbox folders, trigger Databricks jobs to validate, transform, and update feature store tables. Streamline third-party data integration for ML pipelines without API complexity.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 understands Databricks schemas, job outputs, and Delta table structures alongside Dropbox folder hierarchies and file metadata — no complex mapping required.
Redbird natively parses Databricks table schemas, notebook output formats, MLflow experiment structures, and Delta table metadata. It maps these to Dropbox folder paths, file naming conventions, and versioning patterns. The AI handles format conversions between Parquet, Delta, CSV, and Excel automatically, and understands when to partition large datasets across multiple files or zip archives for cloud storage.
faster than building custom scripts to export lakehouse data to cloud storage
Redbird can pull from Databricks 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 Databricks 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 Databricks into Dropbox, or from Dropbox 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 automations from any Databricks job completion or Dropbox file event, then take action in either system.
When a Databricks workflow or scheduled job finishes running, with success or failure status.
When a specific notebook completes, either manually triggered or from a scheduled run.
When a new model version is registered or transitioned to production in MLflow.
Query a Delta table or SQL warehouse and export results as CSV, Parquet, or Excel.
Trigger a Databricks workflow or notebook job with dynamic parameter values.
Insert, update, or merge data into a specified Delta table using SQL or DataFrame operations.
When a new file is uploaded to a monitored Dropbox folder or subfolder.
When an existing file in a tracked folder is updated or replaced with a new version.
When a folder is shared with new collaborators or sharing permissions change.
Upload a file or dataset to a specific Dropbox folder with custom naming.
Generate new folders and subfolders based on dynamic values or templates.
Relocate files between folders or update filenames based on metadata or timestamps.
Sync Databricks and Dropbox in minutes. Redbird AI handles the lakehouse-to-storage integration so your team can focus on building models and delivering insights, not managing file transfers.