ClickUp adopted proactive FinOps strategy for Snowflake before costs ballooned

Project management platform established cost management culture and automated optimization through SELECT's visibility and insights

SELECT
ClickUp

The Challenge

ClickUp operated Snowflake as their central source of truth supporting hundreds of users across multiple teams. They built homegrown cost monitoring using open-source dbt packages and custom Hex dashboards, which became time-intensive to maintain as scale increased. The team wanted granular visibility down to the dbt model level without dedicating engineering resources to building and maintaining internal dashboards.

The Solution

SELECT provided comprehensive cost visibility that ClickUp's homegrown solution aimed to achieve, with quick and straightforward setup. The platform's automated insights eliminated manual legwork of cost analysis while enabling granular monitoring down to individual dbt models. Weekly Slack digests created a macro-to-micro approach for efficient, ongoing cost management.

Results

  • Established proactive cost management culture where every data project includes cost evaluation component
  • Enabled systematic optimization through automated insights including incrementalizing expensive dbt models and warehouse consolidation
  • Reduced time spent on cost management through automated insights and self-service visibility
  • Identified and eliminated wasteful patterns like Census live syncs running unnecessarily on batch data

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.

Michael Revelo, Manager of data and analytics engineering at ClickUp

Snowflake became the central source of truth across ClickUp's entire data operation

ClickUp operates a modern data stack with Snowflake serving as the definitive source of truth across the company. The platform supports hundreds of users including data engineers, analysts, and business stakeholders who are able to run direct queries after completing ClickUp's homegrown SQL training course. Beyond direct query access, Snowflake powers ClickUp's entire operational ecosystem. Census enables reverse ETL to push data from Snowflake to power marketing campaigns, RevOps workflows, and sales operations across tools like Salesforce, Pocus, and various ESP platforms. This warehouse-first approach means that changes made in Snowflake propagate throughout ClickUp's entire operational infrastructure, making cost management and optimization critical for both data platform stability and business operations.

Homegrown cost monitoring hit maintenance limits as complexity grew

Before SELECT, ClickUp built internal cost monitoring using open-source dbt monitoring packages. Using this metadata, the team built custom cost monitoring dashboards in Tableau and later Hex. While the homegrown solution provided basic visibility, it became increasingly difficult to maintain as ClickUp's Snowflake usage scaled. The team recognized they needed a more sustainable approach that wouldn't require ongoing engineering investment.

Proactive philosophy drove SELECT adoption before costs became problematic

ClickUp's adoption of SELECT was driven by a proactive cost management philosophy rather than reactive cost problems. Michael recognized the importance of establishing proper cost monitoring infrastructure before issues emerged. This forward-thinking approach aimed to prevent the common scenario where finance suddenly demands cost cuts for critical infrastructure that teams can't afford to eliminate.

Weekly Slack digests enable efficient macro-to-micro cost monitoring

SELECT transformed ClickUp's cost management approach through automated weekly Slack digests that provide high-level cost trending with the ability to drill down when needed. This systematic approach prevents wasted time on micro-optimizations while ensuring no significant cost increases go unnoticed. When alerts indicate cost growth, the team can quickly identify whether issues stem from warehouse optimization needs, user behavior, or dbt model inefficiencies.

Automated insights identified multiple optimization opportunities

SELECT's visibility immediately surfaced several cost optimization opportunities that ClickUp's homegrown solution had missed. One major discovery involved Census configurations where marketing teams had set up live syncs for audiences despite ClickUp's batch data processing. The team also identified users forgetting to switch back from larger warehouses after ad hoc analysis work and opportunities for warehouse consolidation across tools with similar usage patterns. Additional optimizations included incrementalizing expensive dbt models and switching table types from permanent to transient for appropriate use cases.

Cost awareness became embedded in every data project

Perhaps the most significant cultural change was embedding cost considerations into every data project and decision. SELECT's visibility created a culture where team members proactively think about how their actions impact costs and feel accountable for their Snowflake usage. As ClickUp prepares for major infrastructure changes including real-time data ingestion, Iceberg adoption, and team expansion, SELECT will serve as the foundation for managing cost growth alongside business growth.

See how SELECT helps data teams move faster

Explore how SELECT helps teams reduce warehouse waste, improve visibility, and act on data cost insights.

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What they say

Exiger

This is the easiest thing we've ever done to save money - 20x ROI. Does this not exist for AWS?

Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

Home Chef

SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.

Devin McGee, Data Engineering Lead at Home Chef

Personio

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decision.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

Synthesia

Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.

Edward Mancey, GTM Lead at Synthesia

Entain

SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost.

Blake Baggett, Head of Data Operations at Entain

Kargo

You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, wait, I can!

Diana Koshy, Sr. Director of Data Engineering at Kargo

Loop

SELECT works the way my brain works. I love clicking through the query patterns and different workloads. It's a very intuitive diagnostic flow.

Ian Fahey, Senior Analytics Engineer at Loop

ClickUp

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check.

Michael Revelo, Manager of data and analytics engineering at ClickUp