Data & AI

Real-Time OLAP with ClickHouse

Data & AI Pipelines diagram · made in Skemio

Architecture diagram showing JSON events produced to Kafka, ingested via ClickHouse Kafka Engine, transformed by Materialized Views, and stored in MergeTree.
Architecture diagram showing JSON events produced to Kafka, ingested via ClickHouse Kafka Engine, transformed by Materialized Views, and stored in MergeTree.
Open it in SkemioMake your own

What it shows

  • ClickHouse Kafka Engine consumes messages without extra consumer code.
  • Materialized views parse and persist streaming JSON into MergeTree tables.
  • Sparse primary indexing and columnar layouts make aggregations sub-second.

The takeaway

Direct Kafka-to-MergeTree ingestion removes custom ETL layers and cuts analytical latency to zero.

More data & ai pipelines diagrams