Capital One Slingshot is a cloud‑native data management platform designed to help organizations operate Snowflake and Databricks environments efficiently. It provides continuous visibility into compute usage, storage consumption, and cost drivers while applying data‑driven and machine‑learning‑based optimizations. The platform focuses on reducing waste, improving performance, and enforcing governance without removing control from engineering and data teams.

Key Features

Cloud Cost Visibility Provides detailed insight into data platform spending.

• Granular cost and usage reporting
• Attribution of costs to teams and workloads

Automated Cost Optimization Identifies and applies optimization opportunities.

• Rightsizing of compute resources
• Schedule‑based and workload‑aware optimizations

Machine Learning‑Driven Optimization Uses adaptive models trained on real workloads.

• Self‑improving recommendations
• Optimizations tailored to specific jobs and queries

Continuous Monitoring Tracks configuration, performance, and spend in real time.

• Detection of inefficiencies and anomalies
• Ongoing adjustment as workloads change

Governance and Policy Controls Enforces enterprise standards across data platforms.

• Federated management model
• Role‑based controls and approvals

Query and Workload Insights Analyzes usage patterns and execution behavior.

• Identification of inefficient queries
• Performance and cost trade‑off analysis

Benefits

Reduced Cloud Data Costs Minimizes unnecessary compute and storage spend.

• Identifies underutilized resources
• Prevents overprovisioning

Improved Platform Efficiency Aligns performance with actual workload needs.

• Better resource utilization
• More predictable system behavior

Operational Time Savings Reduces manual tuning and troubleshooting.

• Automation replaces repetitive optimization work
• Engineering teams focus on higher‑value tasks

Stronger Governance and Accountability Improves control over shared data platforms.

• Clear ownership and cost allocation
• Consistent policy enforcement

Scalable Enterprise Management Supports large and complex data environments.

• Handles multi‑team and multi‑environment setups
• Designed for continuous growth