Understand and control your data platform costs.

DSC Optimizer helps teams monitor, analyze, and optimize Snowflake usage so cloud spend stays predictable as data usage grows.

What DSC Optimizer Does

As data platforms scale, cloud costs become harder to understand and easier to mismanage. Usage patterns shift, workloads evolve, and small inefficiencies quietly turn into material spend.

DSC Optimizer ingests metadata from Snowflake and turns it into clear, actionable insight. 


It provides visibility into how your data platform is being used today, highlights inefficiencies, and recommends changes that help teams control costs without disrupting analytics or operations.

 

This is not a billing export or a static cost report. It is a practical tool built to support ongoing cost awareness and optimization.

It provides visibility into how your data platform is being used today, highlights inefficiencies, and recommends changes that help teams control costs without disrupting analytics or operations.

This is not a billing export or a static cost report. It is a practical tool built to support ongoing cost awareness and optimization.

Core Capabilities

Cost Visibility

Interactive charts and dashboards show how Snowflake usage evolves over time, broken down by key drivers such as warehouses, queries, and workloads.

Usage Analysis

Identify which queries, processes, and patterns are driving spend, including inefficient or underutilized resources.

Optimization Recommendations

Actionable recommendations highlight opportunities to reduce costs safely, such as resizing compute, adjusting scheduling, or cleaning up unused workloads.

Designed for Operators

Built for teams responsible for running data platforms, not just finance. Recommendations are practical, transparent, and grounded in how Snowflake actually works.

Why We Built It

We built DSC Optimizer to solve a problem we see repeatedly in client environments.

 

Cloud data platforms make it easy to scale analytics, but much harder to maintain cost discipline over time. Teams often lack a clear view of how usage decisions translate into spend, especially as more users, tools, and workloads come online


Teams often lack a clear view of how usage decisions translate into spend, especially as more users, tools, and workloads come online.


 

DSC Optimizer reflects how we approach cost optimization in our consulting work: understand usage first, make informed changes second, and avoid cost cutting that breaks trust in data.

Teams often lack a clear view of how usage decisions translate into spend, especially as more users, tools, and workloads come online.


 


DSC Optimizer reflects how we approach cost optimization in our consulting work: understand usage first, make informed changes second, and avoid cost cutting that breaks trust in data.

What’s Coming Next

DSC Optimizer is designed to grow alongside modern data stacks.

Planned capabilities include: 


Broader cloud and platform support beyond Snowflake



End to end lineage visibility linking data models, dashboards, and cost drivers

Integration with transformation and BI tools such as dbt and Looker

Monitoring and analysis of AI and LLM related data costs

The goal is a unified view of how data, analytics, and AI usage translate into real infrastructure spend

Who It’s For

DSC Optimizer is built for:

Data and analytics teams responsible for operating Snowflake

Engineering leaders managing cloud cost growth

Organizations scaling analytics and preparing for AI workloads

Teams that want proactive cost control rather than reactive billing reviews

Getting Started

DSC Optimizer is available as a subscription product.

If you’re interested in using DSC Optimizer or want to understand whether it’s a good fit for your environment, you can get started below or reach out with questions.

Cloud cost optimization for data platforms.

Monitors usage, highlights inefficiencies, and recommends changes to reduce spend.

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