High-performance OLAP database for real-time analytics at scale
https://clickhouse.comClickHouse 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.
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.
We design ClickHouse clusters for high availability and horizontal scalability: ReplicatedMergeTree for fault tolerance, distributed tables for sharding, and ZooKeeper/ClickHouse Keeper coordination.
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.
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.
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.
We set up comprehensive ClickHouse monitoring: system.query_log analysis, merge tracking, replication lag alerts, and disk space management. Grafana dashboards for operational visibility.
Sub-second dashboards on billions of rows for product analytics and operational monitoring.
High-throughput log storage and analysis replacing ELK stacks with faster query performance and lower cost.
Clickstream, IoT, and application event processing with real-time aggregation.
Campaign performance, attribution modeling, and audience analytics at massive scale.
Join companies that trust iJKos & partners to build reliable data infrastructure and turn complexity into clear, confident decisions.