Seemore Data

Seemore tracks data spend in real time. No monthly invoice surprise. It breaks costs down by warehouse, user, query, and data product, so you can see which change caused a spike instead of just watching the total climb. AI-driven rules enforce budget limits and flag waste automatically. That cuts the manual spreadsheet work which usually follows a cost review.

This is the feature most teams come for. Seemore continuously right-sizes compute, adjusts when warehouses suspend, and prevents the over-provisioning that inflates Snowflake bills. Smart Pulse handles hourly tuning. That beats a human checking dashboards once a day. The result is warehouses that stay available when needed and shut down when they aren't.

Usage-Based Data Pipeline Optimization matches pipeline resources to actual demand and scales down what's underused, which matters because pipelines that pull more data than a task requires waste real money. For teams running ETL and ELT jobs on a schedule, this catches the jobs that grew quietly over months and never got revisited.

Column-level lineage traces data from its source through every transformation to the final dashboard, and this is the feature that saves the most time during a bad week. This matters most during troubleshooting: when a number looks wrong or a query slows to a crawl, you can see exactly what upstream change is responsible instead of guessing. It's also what makes cost attribution trustworthy, since you can tie a dollar figure to a specific data product.

The AI agent for real-time efficiency detects anomalies, digs into root causes, and surfaces recommendations before inefficiencies hit performance. Rather than dumping another dashboard on your team, the AI data agent tries to answer the question behind the alert. Anomaly detection and root-cause analysis run on the same data the rest of the platform uses, so alerts connect to lineage and cost context. It's genuinely useful.

Seemore addresses two of Snowflake's most common cost traps. Auto-clustering analysis keeps up with changing query patterns and table growth, which manual tuning can't match at scale. Auto Shutdown for warehouses reduces unnecessary runtime, and customers frequently cite it as one of the quickest wins after onboarding.

Cost figures only persuade people when they connect to outcomes. Seemore maps cost, performance, and usage to business KPIs, which helps data teams show how their work supports revenue or efficiency rather than presenting an abstract bill. Data cost visibility stops being a finance complaint. It becomes a business conversation. For leaders explaining data spend to executives, this is the part that makes the conversation work.