ClickHouse for adtech platforms

Adtech systems require handling vast amounts of data at high speeds, processing millions of bid requests per second, deduplicating impressions and clicks, and ensuring campaign reports are fresh enough for traders to act on. Traditional databases like Postgres struggle under such demands, leading many teams to adopt a stack comprising Kafka for ingestion, Spark for aggregation, and a custom reporting layer, though this setup requires significant operational resources. ClickHouse, a columnar database, emerges as a preferred choice for its real-time processing capabilities, exemplified by InMobi's successful migration which reduced latency and costs. The article details how ClickHouse's architecture, including its use of materialized views and efficient schema designs, supports high ingestion throughput and fast query responses. ClickHouse's integration with Kafka facilitates seamless bid stream ingestion, while Tinybird provides a managed ClickHouse solution, simplifying the ingestion, deduplication, and querying processes with an API layer, thus alleviating the operational burden on adtech teams.

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