Ideas that move data teams forward

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)

Idan Birnboim
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...
Seemore Data $5,000 challenge blog thumbnail. A coral-colored browser frame displays the text
9 min read

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

Wesley Allan
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...
Four-phase diagram illustrating the Snowflake data type optimization journey, from alias unification to cost reduction.
9 min read

Snowflake Data Types: Practical Cheat Sheet, Aliases, and VARIANT Examples

Wesley Allan
May 03, 2026
Most Snowflake data type guides are dictionaries. They list the types and describe the syntax, but stop there. That is fine for orientation. It does not help an engineer who is staring at a slow query and wondering whether the VARCHAR/STRING mix in the DDL is causing it...
A stylized vector illustration featuring a slightly angled data visualization dashboard within a clean browser frame, set against a continuous off-white background. The dashboard, with 'SEEMORE' branding, displays multiple KPI cards: 'COST SAVINGS: $1.93M' in mint green, 'FLAGGED ISSUES: #F87E7E' in coral, 'WAREHOUSE CREDITS: $2.0K', and 'ALERTS: #FFF0A2' in yellow.
min read

10 Best Enterprise Data Observability Software

Matan Avneri
Apr 30, 2026
Data observability software monitors the health, quality, and reliability of data across pipelines, warehouses, and lakes. It detects anomalies, traces lineage, surfaces root causes, and – in modern tools – controls compute costs. Enterprises use it to pre...
min read

Top 8 Data Pipeline Monitoring Tools

Matan Avneri
Apr 30, 2026
As organizations scale their data operations, the pipelines powering dashboards, ML models, and business-critical workflows grow exponentially more complex. Data moves through more systems, touches more services, and carries heavier consequences than ever before. This g...

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    7 min read

    From Runtime to Spillage: Snowflake Performance Optimization Insights from Our CPO

    Yaniv Leven
    Jul 22, 2025
    14 min read

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

    Idan Birnboim
    Jul 16, 2025
    12 min read

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

    Matan Avneri
    Jul 15, 2025
    20 min read

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

    Idan Birnboim
    Jul 15, 2025
    22 min read

    Snowflake Cost Optimization: Top 17 Techniques in 2025

    Idan Birnboim
    Jul 15, 2025
    16 min read

    Understanding Snowflake Database: Architecture, Features, and Use Cases

    Matan Avneri
    Jul 15, 2025
    3 min read

    Unleashing Smarter Snowflake Management: 3 New Features Every Data Engineer Will Love

    Yaniv Leven
    May 29, 2025
    3 min read

    What Snowflake’s Latest Earnings Call Signals for the Future of Data Optimization

    Seemore Team
    Ariel Utnik
    May 26, 2025
    5 min read

    The Truth About Snowflake Query Costs, And How to Lower Them

    Yaniv Leven
    May 22, 2025
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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)

    Snir Siboni

    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

    5 min read

    Smart Pulse – Hourly Autonomous Snowflake Warehouse Optimization for Smarter Scaling

    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...

    6 min read

    What is Smart Snowflake Auto Suspend: Auto Shutdown

    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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