Real-Time iGaming Analytics: The Database Operators Are Switching To | Connected Ep. #20: ClickHouse
ClickHouse Sales Director Lee Wright explains how iGaming operators can run real-time player, affiliate, and fraud analytics at scale, all while cutting data infrastructure costs by up to 100x compared to Snowflake, BigQuery, Databricks, and Redshift.
In this episode of Connected with Pragmatic Solutions, our CEO Ashley Lang speaks with Lee Wright, Sales Director at ClickHouse, about how columnar database architecture is changing what operators can do with their data and what it costs to do it.
ClickHouse is trusted by Cloudflare, Netflix, Tesla, Deutsche Bank, and Anthropic for high-performance analytics at scale. In iGaming, it gives operators the infrastructure to move from batch reporting to live, queryable data across player behaviour, affiliate performance, and fraud signals.
Some of the topics covered are:
* How ClickHouse delivers up to 100x lower storage costs versus Snowflake, BigQuery, Databricks, and Redshift.
* Why iGaming operators are moving away from batch reports toward real-time player and affiliate analytics.
* How affiliates can track campaign performance live across player acquisition, platform activity, and game behaviour.
* Using ClickHouse as the foundation for LLM-powered querying: operators asking questions about wagers, game performance, and business trends in plain language over their own data.
* Fraud detection: combining rule-based logic and machine learning on a database that runs at millisecond speed.
* Where ClickHouse sits in the iGaming tech stack and how it integrates with Kafka, Postgres, and standard BI tools.
* The licensing model: open source, free to self-host, or fully managed on all three major cloud providers.
CHAPTERS
* 00:00:00 Introduction and episode preview
* 00:00:38 What is ClickHouse?
* 00:02:21 Why ClickHouse is having a moment: scale and speed
* 00:03:12 Real-time analytics demand in iGaming
* 00:04:14 What makes ClickHouse fast: engineering and compression
* 00:05:26 ClickHouse in practice: Netflix, Tesla, Cloudflare, Deutsche Bank
* 00:08:14 iGaming-specific opportunities: affiliates and real-time data
* 00:09:51 Where ClickHouse sits in the tech stack
* 00:11:31 From batch reports to real-time player queries
* 00:12:14 ClickHouse as a product experience enabler
* 00:13:22 Cost economics: 100x savings vs Snowflake, BigQuery and Redshift
* 00:14:30 Licensing model: open source and ClickHouse Cloud
* 00:15:27 AI and LLMs on top of ClickHouse
* 00:16:48 How Lee joined ClickHouse
* 00:18:03 The problem statement for operators
* 00:19:09 Fraud analytics and machine learning use cases
* 00:19:50 How the ClickHouse solutions team works with operators
* 00:21:50 How to get started with ClickHouse
ClickHouse is an open-source, column-oriented analytical database used by Cloudflare, Netflix, Tesla, Deutsche Bank, and Anthropic to process data at terabyte to exabyte scale. In iGaming, it enables real-time analytics for operators, affiliates, and players at a fraction of the cost of conventional cloud data warehouses.
The Connected with Pragmatic Solutions podcast brings you the latest insights in iGaming technology and innovation. Produced in collaboration with NEXT.io — The World's iGaming Community. More at www.pragmatic.solutions/connected [http://www.pragmatic.solutions/connected]
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