Sub-second queries on billions of rows. ClickHouse actually delivers that — if you model your data correctly. Primary key selection, materialized views, and shard topology have an outsized effect on whether queries stay fast as data grows. We use it in production for observability platforms, user-facing analytics, and real-time dashboards. Our ClickHouse consulting covers architecture, schema design, and performance tuning.
Posts tagged clickhouse
The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse
Apache Kafka Apache Flink ClickHouse Data Architecture BigData
The 'Too Many Parts' Problem in ClickHouse
Series: ClickHouse Power Tips ClickHouse
ClickHouse vs PostgreSQL: Choosing the Right Database for Analytics
ClickHouse PostgreSQL
Understanding the ClickHouse MergeTree Engine
Series: ClickHouse Power Tips ClickHouse
ClickHouse: Production Monitoring & Optimization Tips
ClickHouse Webinar
When to Use Partitioning in ClickHouse?
Series: ClickHouse Power Tips ClickHouse
ClickHouse Power Tips: Projections
Series: ClickHouse Power Tips ClickHouse