AI Agent for Databricks
Spend Optimization

Auto warehouse management reducedspend by 60% when usage increases by 44%

Key Benefits:

Automated Spend Management

Full visibility into spend and resource utilization helps identify and quickly address spending inefficiencies automatically or assisted.

10x Improvement in Jobs Efficiency

Actionable insights on jobs performance and query activity facilitate immediate efficiency improvements.

Automated Data Observability and Quality

Automatic real-time monitoring and identification of data quality incidents strengthens overall trust in organizational data, reducing risk.

Use Automated Warehouse Management to automatically optimize or manually optimize your warehouses using details about each warehouse.
Understand usage patterns, query time, performance details to make right decisions.
Job configuration and optimization helps manage spending.

Proactive jobs management, displaying key details about each job.
Track current and past runs to proactively identify issues.
Experiment and Optimize your jobs by executing the job multiple times with different settings.

Reduce Downtime by automatically identification and remediation of anomalies to mitigate potential disruptions in analytics or operations and preserves the accuracy and trustworthiness of your data assets.
Enhance operational productivity with automated monitoring which frees data teams to focus on strategic projects rather than manual quality checks.
Use dashboard, schema and lineage insights into both upstream causes and downstream impacts for complete data quality management.