# How Merkle Science fights crypto crime at scale with ClickHouse Cloud

DevFeed: [How Merkle Science fights crypto crime at scale with ClickHouse Cloud](<https://devfeed.tech/articles/how-merkle-science-fights-crypto-crime-at-scale-with-clickhouse-cloud-5415.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/merkle-science-fights-crypto-crime-at-scale>)

Author: Akshay Gupta, Lead Data Engineer, and Priyanshu Sehgal, Sr. Data Engineer

Published: 2025-11-13T09:30:52Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Data Infrastructure](<https://devfeed.tech/topics/data-infrastructure.md>), [Blockchain](<https://devfeed.tech/topics/blockchain.md>), [threat detection](<https://devfeed.tech/topics/threat-detection.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [on-prem](<https://devfeed.tech/topics/on-prem.md>)

Tags: [blockchain](<https://devfeed.tech/tags/blockchain.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [infra](<https://devfeed.tech/tags/infra.md>), [on-prem](<https://devfeed.tech/tags/on-prem.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [threat-detection](<https://devfeed.tech/tags/threat-detection.md>)

## AI overview

Merkle Science uses ClickHouse as a core part of its blockchain analytics and predictive risk platform for detecting, tracing, and preventing illicit activity. The company ingests about 1.5 terabytes of data weekly and runs more than 18 million queries, relying on ClickHouse for transaction monitoring, wallet attribution, cross-chain forensics, and real-time threat detection. The article describes its migration from self-managed ClickHouse infrastructure to ClickHouse Cloud to simplify operations and support faster scaling.

## Source excerpt

"Even if data increases by 4x or 5x in the next year, we literally don't have to worry about it. We've got the architecture right, the stack right, and the right platform at the end of the day." - Akshay Gupta, Lead Data Engineer