Ideas that move data teams forward

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min read

Chargeback vs Showback for Data Teams – Which Model Actually Changes Behavior

Nurit Gal
Jun 01, 2026
The chargeback vs showback debate has been running in cloud FinOps circles for years. In 2026, it’s arrived squarely in the data engineering world – and the stakes are higher than they were for generic cloud infrastructure. Most data platform FinOps initiati...
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min read

The Hidden AI Agent Data Cost on Your Stack

Nurit Gal
May 25, 2026
When a human runs a query, there’s an instinct. You see the warehouse size, you estimate the scan, and you hit cancel if something looks wrong. The Snowflake cost increase usually starts long before anyone notices – and with agentic workloads, it moves faste...
Illustration of a monitoring gap showing healthy data pipeline cards on the left, an undetected cost blind zone in the center, and a resolved state on the right - representing how Snowflake cost spikes go undetected for weeks
min read

Why Your Snowflake Bill Doubled – And Your Team Had No Idea

Nurit Gal
May 18, 2026
Unexpected Snowflake cost increase? Here are the 6 most common causes - from idle warehouses to misconfigured auto-suspend - and how to detect them before they hit your bill.
Abstract data pipeline network visualization representing Snowflake cost optimization and data flow across a modern data stack.
3 min read

6 Best Snowflake Cost Management Tools (2026 Comparison)

Lilach Shazar
May 05, 2026
Snowflake’s pricing model charges for compute, storage, and cloud services separately, making Snowflake cost control more complex than most teams anticipate. Virtual warehouses spin up fast, queries run across massive datasets, and cloud services layer charges acc...
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9 min read

Prove Your Snowflake Spend is Optimized with The Seemore Data $5,000 Challenge

Nurit Gal
May 04, 2026
TL;DR The challenge is simple: let us analyse your Snowflake environment, and if we can’t identify at least 20% in savings, we hand you $5,000. No purchase required. Onboarding takes 15 minutes. This page outlines the Seemore Snowflake $5000 challenge, eligibility...

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    11 min read

    10 Critical Data Observability Use Cases That Save Businesses Time and Money

    Lilach Shazar
    Oct 30, 2024
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    6 min read

    Solving The Daily Hassles of Data Engineers: Do You Maintain Data Pipelines No One is Using?

    Nurit Gal
    Oct 28, 2024
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    12 min read

    What is Data Observability? Importance, Challenges, and Best Practices

    Matan Avneri
    Oct 15, 2024
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    8 min read

    A Practical Guide to Eliminating Cost Spikes: Five Actionable Tips to Cutting Your Data Stack Bills

    Seemore Team
    Guy Biecher
    Oct 09, 2024
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    12 min read

    Optimizing Data Costs: Strategies for Reducing Cloud and Data Storage Expenses

    Lilach Shazar
    Oct 07, 2024
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    13 min read

    Automated Data Lineage: Top Use Cases and Best Practices

    Matan Avneri
    Sep 25, 2024
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    6 min read

    Crystal-Clear Data Visibility: How Artlist Streamlined Workflows and Reduced Snowflake Costs in 30 Days

    Seemore Team
    Guy Biecher
    Sep 19, 2024
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    22 min read

    Understanding Snowflake Data Transfer Costs: A Comprehensive Guide

    Matan Avneri
    Sep 12, 2024
    Top Open Source Data Lineage Tools
    24 min read

    Top Open-Source Data Lineage Tools for 2024: Pros, Cons and How to Assess the Right Solution for You

    Lilach Shazar
    Sep 05, 2024

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    19 min read

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

    Seemore Team
    Guy Biecher

    Jan 12, 2026

    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 expl...

    Auto- clustering in scale with AI recommendation

    14 min read

    How to Automate Snowflake Warehouse Optimization (2026 Guide)

    Matan Avneri

    Dec 21, 2025

    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 suspensi...

    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.

    7 min read

    Comprehensive Guide to Mastering the Snowflake Query Profile

    Matan Avneri

    May 23, 2024

    Comprehensive Guide to Mastering the Snowflake Query Profile

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    5 min read

    Smart Pulse – Hourly Autonomous Snowflake Warehouse Optimization for Smarter Scaling

    Yaniv Leven
    Yaniv Leven

    Aug 13, 2025

    Introducing Smart Pulse In the constant balancing act between performance and cost in cloud data warehouses, timing is everything. Optimize too slowly, and you waste budget on oversized resources. React too late, and users face query slowdowns or missed SLAs. That’s...

    Illustration of a person viewing a Snowflake warehouse-sizing chart with cost and savings recommendations

    6 min read

    What is Smart Snowflake Auto Suspend: Auto Shutdown

    Yaniv Leven
    Yaniv Leven

    Nov 03, 2025

    Managing Snowflake warehouses efficiently has always been a delicate balance. You need compute resources available when your data teams need them, but leaving warehouses running when idle can drain budgets fast. Traditional Snowflake Auto Suspend features help, but they...

    Comparison infographic showing traditional static auto-suspend versus intelligent AI-powered warehouse auto-shutdown for Snowflake optimization

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