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Storage & Warehousing

ClickHouse

High-performance OLAP database for real-time analytics at scale

https://clickhouse.com

What It Is

ClickHouse is an open-source columnar database management system designed for online analytical processing (OLAP). Originally developed at Yandex, it delivers exceptional query performance on large datasets through columnar storage, vectorized query execution, and aggressive data compression. ClickHouse processes billions of rows in milliseconds โ€” making it ideal for real-time analytics, log analysis, and high-throughput reporting workloads.

How We Use It

ClickHouse is our primary analytical database for projects that demand real-time query performance at scale. We deploy it for real-time dashboards, event analytics, log processing, and any scenario where sub-second responses on billions of rows matter. We design ClickHouse clusters from scratch โ€” choosing the right table engines, designing partition and order key strategies, configuring replication and sharding, and building efficient materialized views for pre-aggregation. ClickHouse is central to our DMP.AF platform architecture.

Our Expertise

  • Cluster Architecture

    We design ClickHouse clusters for high availability and horizontal scalability: ReplicatedMergeTree for fault tolerance, distributed tables for sharding, and ZooKeeper/ClickHouse Keeper coordination.

  • Schema Design

    We optimize MergeTree table engines with proper ORDER BY keys, partition strategies, and TTL policies. Materialized views for real-time aggregation. CollapsingMergeTree and AggregatingMergeTree for specialized workloads.

  • Query Optimization

    We tune queries for ClickHouse's columnar architecture: minimizing full scans, leveraging primary key skip indexes, using PREWHERE for predicate pushdown, and designing efficient JOINs.

  • Data Ingestion

    We build high-throughput ingestion pipelines: batch inserts via native protocol, Kafka engine for streaming ingestion, and Buffer tables for micro-batching. Handling billions of events per day.

  • Monitoring & Operations

    We set up comprehensive ClickHouse monitoring: system.query_log analysis, merge tracking, replication lag alerts, and disk space management. Grafana dashboards for operational visibility.

Use Cases

Typical Use Cases

1

Real-time Analytics

Sub-second dashboards on billions of rows for product analytics and operational monitoring.

2

Log Processing

High-throughput log storage and analysis replacing ELK stacks with faster query performance and lower cost.

3

Event Analytics

Clickstream, IoT, and application event processing with real-time aggregation.

4

Ad Tech & Marketing Analytics

Campaign performance, attribution modeling, and audience analytics at massive scale.

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