Seemore x Snowflake

What's so special about Snowflake?

Snowflake stands out in the data platform landscape due to its cloud-native architecture and innovative approach. It separates storage and computing, enabling unparalleled scalability and cost-efficiency.

With its multi-cluster shared data architecture, Snowflake offers seamless data sharing, near-infinite concurrency, and cross-cloud functionality. It simplifies data management while providing robust security features, making it a game-changer for modern data management.

Seemore Data is a Snowflake Select Partner.

Let’s start by optimizing your Snowflake spend

Let’s start by optimizing your Snowflake spend

Spend overview: where are we compared to the budget?
Budget projections: how long the current budget will last at current spend rate.
Instant visibility and attribution into usage or spend by user, process, or workflow
Deep Lineage: go beyond column view to examine how the data is actually used

How to onboard

Integrating Snowflake to Seemore Data takes just 30 minutes!

How to onboard

Integrating Snowflake to Seemore Data takes just 30 minutes!

Onboarding simply requires Snowflake credentials to activate – A comprehensive setup script then automates the entire process, including the creation of a dedicated warehouse for Seemore.
Roles and users are created and the necessary privileges assigned. The user then decides which metadata to import from Snowflakes.

Seemore resources

19 min read

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

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...

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...

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

Eyeglasses in focus in front of a blurred screen of code

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...

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

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...

Seemore x Snowflake

What's so special about Snowflake?

Let’s start by optimizing your Snowflake spend

How to onboard

Seemore resources

Let's start by spending 40% less on data