Ideas that move data teams forward

Snowflake Cortex Agent Cost is a Black Box. And Snowflake AI Observability shed some light onto it.
6 min read

Snowflake AI Observability for Cortex Agents: Tracking Token-Level Costs with SQL

TL;DRSnowflake Cortex Agent costs are not fully visible in native dashboards. By querying SNOWFLAKE.LOCAL.AI_OBSERVABILITY_EVENTS and applying model-specific pricing, you can calculate 100% of agent costs, attribute spend to agents/users/teams, and build daily cost moni...
AI-driven Snowflake auto-clustering optimization at scale, showing how intelligent clustering improves query performance, reduces compute costs, and optimizes micro-partition pruning.
7 min read

Intelligent Snowflake Auto Clustering: How to Optimize Auto-Clustering at Scale with AI

TL;DR Snowflake auto-clustering can dramatically improve query performance — but at scale, it often becomes a guessing game that quietly burns credits. Manual clustering analysis doesn’t keep up with changing query patterns, table growth, and data churn. This post expla...
Illustration showing a global cloud data ecosystem with DoiT and SELECT connected at the top, and multiple cost intelligence layers below—representing how different players share the data cost optimization market.
4 min read

What DoiT’s Acquisition of SELECT Signals About the Data Cost Intelligence Market?

Why Multiple Players Will Own the Data Cost Intelligence Market DoiT Acquires SELECT – The recent acquisition isn’t just another industry headline. It’s a signal – and an important one. It means that the market has reached a point where cost intelligence in ...
Clean blog header image with the title “Top Snowflake Cost Management Tools – 2026.” A central Snowflake-style icon is surrounded by minimal line icons representing cost, settings, performance, and security. Below, a simple bar and line chart visualizes cost trends. The design uses Seemore’s brand colors on a soft gradient background,
3 min read

Top Snowflake Cost Management Tools in 2026

TL;DR Snowflake cost management in 2026 is about controlling compute spend while maintaining performance and reliability. Native Snowflake tools provide baseline visibility, but most organizations require third-party platforms for automation, deeper optimization, and cl...
An infographic titled 'Snowflake Warehouse Optimization in 2026' highlighting four key strategies: Right Sizing, Multi-Cluster Strategies, Gen1 vs Gen2 Warehouses, and Auto-Suspend configuration, all part of an Automated Platform.
5 min read

How to Automate Snowflake Warehouse Optimization (2026 Guide)

TL;DR Snowflake warehouse optimization in 2026 requires right-sizing compute (vertical scaling), controlling concurrency with multi-cluster policies (horizontal scaling), choosing Gen1 vs Gen2 based on workload type, and eliminating idle time with aggressive suspension....

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    5 min read

    Smart Pulse – Hourly Autonomous Snowflake Warehouse Optimization for Smarter Scaling

    5 min read

    Snowflake Query Insights: More Signal, Less Guesswork

    14 min read

    Data Lineage Tools: Key Features and 8 Tools to Know in 2025

    12 min read

    Snowflake Query Timeouts Can Break the Bank: Learn to Fix Them

    20 min read

    Data Lineage in 2025: Examples, Techniques, and Best Practices

    Snowflake performance tuning
    14 min read

    Snowflake Performance Tuning in 2025: Pro Tips and Common Mistakes in Snowflake: Best Practices, Common Mistakes, and Pro Tips for Data Teams

    12 min read

    Modern Data Stack Architecture: Building Scalable and Efficient Data Pipelines

    7 min read

    Data Engineering Anonymous: Why Does Debugging Feel Like a Full-Time Job (and How Can I Fix It)

    10 min read

    7 Snowflake Query Optimization Tips: Boost Performance and Reduce Costs

    Seemore resources