ClickHouse is being used by Superology alongside Kafka to power customer quantitative data, leveraging Google protocol buffers for data serialization. The company's data-informed approach informs business decisions, and they use quantitative data to analyze user behavior and create reports. ClickHouse's built-in Kafka connector and support for protocol buffers enable efficient data ingestion and processing. Superology uses materialized views to filter and transform their data, making it suitable for analysis and reporting. Additionally, ClickHouse facilitates experiments, including AB testing and Bayesian A/B testing, allowing the company to make informed business decisions. The company plans to further integrate ClickHouse with MindsDB to create a machine learning architecture on the database level, enabling more advanced analytics capabilities.