
Overviews
How it works?
Connect your Databricks workspace
Authenticate your Databricks account using secure API tokens to establish a connection between your workspace and automation platform for seamless data operations.
Trigger workflows from data events
Set up triggers based on job completions, cluster status changes, or notebook executions to initiate automated workflows across your connected applications and tools.
Automate cluster management
Create, start, stop, or terminate clusters based on workload demands or schedules to optimize resource utilization and reduce operational costs without manual oversight.
Execute notebooks programmatically
Run Databricks notebooks on demand or on schedule, passing parameters and collecting results to integrate data transformations into your broader automation workflows.
Schedule and manage jobs
Configure, trigger, and monitor Databricks jobs through automated workflows, ensuring data pipelines run reliably and results are delivered to downstream systems on time.
Sync data between systems
Move processed data from Databricks to warehouses, applications, or analytics tools, keeping all systems synchronized with the latest insights and transformations.
Monitor job status and performance
Track job execution status, collect performance metrics, and receive notifications about failures or anomalies to maintain reliable data operations across your organization.
Deploy and manage ML models
Automate the deployment of machine learning models from Databricks to production environments, updating endpoints and versioning models as your data science team iterates.

Configure
Build
Automated data pipeline orchestration
Create end-to-end data workflows that trigger Databricks jobs when new data arrives, process information through notebooks, and deliver results to analytics dashboards or business applications without manual intervention.
“You can’t do this anywhere else.”



















































Your stack,
connected.

