Infinitas Learning overhauled its infrastructure across nations including the Netherlands, Belgium, Portugal, Poland, and Sweden by retiring an Apache Kafka and Flink setup. The new environment routes transactional workloads to ClickHouse Managed Postgres, which lowered P50 latency from milliseconds to double-digit microseconds. To resolve analytical bottlenecks that Postgres could not satisfy alone, the organization paired the platform with ClickHouse Cloud. Optimized with a distributed cache, customer-facing analytics saw P99 latency drop from roughly 13 seconds to 410 milliseconds.
Key points
Transitioning transactional workloads to ClickHouse Managed Postgres reduced P50 latency…: Transitioning transactional workloads to ClickHouse Managed Postgres reduced P50 latency to double-digit microseconds.
Deploying ClickHouse Cloud with a distributed cache slashed analytics P99 latency from ab…: Deploying ClickHouse Cloud with a distributed cache slashed analytics P99 latency from about 13 seconds to 410 milliseconds.
A dual-database strategy effectively separated transactional operations from analytics to…: A dual-database strategy effectively separated transactional operations from analytics to maintain real-time updates for learners.
Sources checked by our analysis pipeline: 1
Summary
- Infinitas Learning, one of Europe’s largest educational publishers, uses ClickHouse to process results for 1.6 million learners and 324 million assignments a year.
- Transactional workloads run on ClickHouse Managed Postgres, where P50 latency dropped from milliseconds to double-digit microseconds after migrating from Neon.
- Customer-facing analytics run on ClickHouse Cloud, where support-led optimization and distributed cache cut P99 latency from ~13 seconds to 410 milliseconds.
How Infinitas Learning uses ClickHouse Managed Postgres to process billions of events for 1.6M unique learners
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