Capital One Software Announces New Observability and AI-Powered Optimization Capabilities for Slingshot to Drive System-Wide Data Efficiency
Context-Driven Insights Improve Snowflake Performance, Detect and Resolve Data Infrastructure Issues
These features reflect a fundamental shift in how enterprises can approach data efficiency: not just tuning individual resources in isolation, but understanding and optimizing the entire system, including code, pipelines, infrastructure and the teams running them.
“Enterprise data infrastructure is a complex web of inter-dependencies that requires a context-first approach for optimization at scale,” said
Upcoming Slingshot features include:
- Context-Aware AI Query Optimization: Enterprise Snowflake environments generate staggering query volumes that no team can manually evaluate at scale. Slingshot will automatically identify top queries by cost, runtime, and frequency in Snowflake environments. It will generate AI-powered optimization recommendations that surface clear, actionable steps and project cost and runtime improvements for both Snowflake admins and data engineers.
- Context-Aware AI Table Optimization: Query inefficiency often doesn’t stem from the query itself, but from poorly configured tables. Slingshot’s Table Optimization capability will analyze the top 50 tables by query impact and surface multi-dimensional infrastructure fixes. Slingshot will also validate that proposed table changes will not negatively impact the top queries already running against that table, before surfacing the recommendation.
- Duplicate Pipeline Detection: Large enterprises have full pipelines that are unknowingly redundant. Slingshot's AI-powered duplicate pipeline detection will identify these redundancies by looking at common patterns of data usage to find potential overlap. Slingshot uses AI to compare many potentially-similar workloads to evaluate functional equivalence.
- Data Explorer: This interactive, drill-down analytics interface will allow data teams to investigate root causes. Users can interactively slice Snowflake costs across various dimensions (accounts, users, query hashes, Slingshot tags, service types) with synchronized filtering. Drill-downs offer rich object detail pages for individual warehouses, databases, and queries, collapsing the gap between cost visibility and actionable change. Data rich before-and-after impact analysis pages provide historical context for any changes made to a Warehouse.
Learn more about the latest Slingshot innovations by visiting
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Booth #1211 at Snowflake Summit,
June 1-4, 2026 inSan Francisco, CA -
Booth #223 at Gartner Security and Risk Management Summit,
June 1-3, 2026 inNational Harbor , MD
About
Capital One Software, the enterprise B2B software business of Capital One, enables organizations to scale their data management capabilities and better harness the power of AI. Backed by 25 years of data innovation,
About Capital One
Forward-Looking Statements
This press release contains forward-looking statements regarding Capital One Software’s strategy and future product features. These statements are based on current expectations and involve risks and uncertainties that could cause actual results to differ materially. Factors such as technical challenges, market shifts, or changes in resource allocation may result in some features being delayed, modified, or not released at all. Capital One Software assumes no obligation to update these forward-looking statements as circumstances change.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260601466677/en/
Marissa Davis
marissa.davis@capitalone.com
Source: Capital One Software