04/14/2026
Turning Cost Optimization into a Conversation
At SDK/Ateko, we’re using Snowflake Cortex Code to tackle one of our client’s biggest challenges, organizational cost optimization.
What’s powerful about Cortex Code isn’t just that it can write or optimize SQL—it’s that it understands the full Snowflake context: schemas, roles, query history, and credit consumption. That means our teams can ask plain‑language questions like “Why did this warehouse spike in cost?” and get detailed actionable, answers.
For cost optimization use cases, Cortex Code is helping us:
- Identify inefficient or redundant queries tied to real credit usage
- Optimize queries and workloads in context, not in isolation
- Save time for periodic auditing and managing database usage activity
- Shift FinOps conversations from reactive analysis to proactive insight
- Designing Streamlit dashboards that transform complex data into clear visuals that drive informed decision-making
This is a big step forward from traditional dashboards and manual investigations. Cortex Code brings AI directly into the data platform, making cost optimization something teams can continuously improve, not something they only look at after the bill arrives.
If you’re building on Snowflake and thinking about FinOps, governance, or platform efficiency, Cortex Code is absolutely worth a closer look.
“Cortex Code changes cost optimization from a reactive exercise into an ongoing conversation with your data platform—where insight, governance, and action happen in the same place.”
