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Case Study: Datavations rebuilt its data architecture on ClickHouse for 18x faster processing

Datavations Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Datavations
Industry
Data & Analytics
Challenge
Costly, slow pipeline as client demand grew
Headline result
18x faster processing and 15x lower cloud cost after moving to ClickHouse

Key results

18x
Faster processing
vs prior architecture
15x
Lower cloud cost
across all cloud expenses
5x
Analyst efficiency uplift
fresher data, faster feedback loops

The challenge

Datavations builds a data and optimization platform for the home-improvement industry, helping manufacturers decide what to stock, how much inventory to carry, and how to price. As the company grew after a Series A, its existing data pipeline was costly and too slow to deliver timely client insights.

The solution

Datavations rebuilt its data architecture around ClickHouse, moving most client workloads onto a ClickHouse-based pipeline while some clients still pull raw data from S3.

We saw a 15x cost reduction in all of our cloud expenses.

JL
Jacob Lucas
Co-founder & Head of Engineering, Datavations

The results, in context

In an account shared at a July 2025 ClickHouse meetup in New York, Datavations reported a 15x reduction in all of its cloud expenses and processing speed 18 times faster, with analysts citing a 5x efficiency uplift from fresher data and faster feedback loops. Figures are quoted from ClickHouse's published story and dated.

Products used

ClickHouse ClickHouse