Eisan System Development, a Japanese software company, replaced their QlikView-based BI stack with ClickHouse Cloud to power an ID-POS analytics platform for retail clients. The legacy system struggled with growing data volumes (up to 200M records per client annually), unpredictable failures, high memory consumption, and escalating licensing costs. After evaluating PostgreSQL and YugabyteDB without success, they discovered ClickHouse and were impressed by its speed without relying on in-memory processing. The migration improved query reliability (zero failed queries vs. frequent failures in QlikView), reduced infrastructure costs, and enabled better resource utilization. The team is now optimizing CPU/memory ratios, exploring autoscaling and planned scaling strategies, and targeting a future scale of 100 billion records.
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