Capital One Slingshot user interface

Meet Slingshot

Maximize your cloud data platform efficiency

With transparency into your financial and compute spend, you can track and forecast use more accurately, maximizing your investment—including your AI programs.

Key benefits

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Optimize & do more

Cost efficiencies let you invest in new business uses.

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Gain visibility

Transparency helps you intelligently manage resources.

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Manage your way

Federated management lets you tailor to your policies.

Hear from our customers

Dynata logo

"At the end of our POV period, Dynata saw a substantial 15% in savings afforded by Slingshot, along with significant credit reductions. Slingshot helped to lead, guide and even gamify the lever pulling of our Snowflake instance that could make such a noteworthy impact to reducing our yearly spend.”

Dynata
- Bradley White | Sr. Director, Enterprise Data Management

 

GumGum logo

“Capital One Slingshot has been helpful to manage, and optimize our Snowflake resources. What sets it apart is its visualization of usage patterns across days and weeks, giving us a granular view of how workloads and costs evolve over time.

With just a few clicks, we can apply cost-saving recommendations—such as rightsizing or shutting down idle resources. Equally important is the ability to revert warehouse schedule changes effortlessly. This functionality gives us peace of mind; if a change doesn’t yield the desired outcome, we can quickly return to a previous configuration. This flexibility reduces the risk of disruption and encourages experimentation—something that's crucial for a high-velocity engineering environment.”


GumGum
- Ruchi Singh | Manager, Analytics Engineering
 

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“The Slingshot tool has been a game-changer for us, delivering significant time and cost savings while helping us accelerate our data growth initiatives. It’s been an invaluable resource, and we’re thrilled with the results.

The Capital One team has been fantastic to work with—supportive, responsive and truly collaborative at every step of this journey. Their guidance and partnership have made the process smooth and efficient.”


- Manager of Data Services Engineering Platform at a Large Enterprise Digital Entertainment Company

Supported platforms

Capital One Slingshot user interface

Optimization hub

Databricks & Snowflake automated optimization

Leverage tried and true optimizations for compute, queries, and data storage. Click to apply, or select workloads to fully automate.

Capital One Slingshot user interface

Advanced ML models

ML-powered optimization for Databricks Jobs

The ease of serverless without the limitations. Slingshot's advanced ML models provide custom-tailored optimization for Databricks Jobs.

Capital One Slingshot user interface

Data visualization

Visualizations and insights for data clouds

Allocate costs to LOBs, assess performance and uncover inefficiencies and opportunities to save up to 40% from Slingshot optimization.

Capital One Slingshot governance feature

Governance & IAM

Governance and federation for Databricks & Snowflake

Built internally out of need, Slingshot was created to enable the modern enterprise to manage massive amounts of data.

Solutions

Health check

Free dashboard to guide your Databricks optimization efforts

Assess the health of your Databricks environment across Serverless, Jobs, DBSQL, APC and DLT with our powerful, free dashboard.

Slingshot next steps

Slingshot Frequently Asked Questions

The value report contains a detailed history of cost savings generated by Slingshot recommendations. The cost savings can be viewed by all recommendations as well as per recommendation applied.

Additionally, the warehouse details page visualizes the cost over time and will include a change history so that you can see why there were cost changes.

Slingshot optimizes the following objects in Snowflake:

  • Schedules for warehouse size, cluster size and auto-suspend
  • Warehouse statement timeout
  • Just-right time travel provisioning
  • Ideal COPY file sizes
  • Drop unused tables

Slingshot analyzes the workload and query attributes of a warehouse. It tracks factors such as, but not limited to, query size, query load, queued queries and data spillage. Based on these usage patterns, Slingshot generates recommendations that will optimize the Snowflake resources. 

Yes, we analyze warehouses that have Query Acceleration Services (QAS) enabled and provide recommendations.

Additionally, in some cases, we can enhance QAS cost-efficiency by adjusting the time slots in the scheduling recommendations to account for delayed queries or queries that don't meet the eligibility criteria.

SEE SLINGSHOT IN ACTION

Request a personalized demo