Apache Kylin vs ClickHouse

Developers should learn Apache Kylin when building data warehousing or business intelligence solutions that require fast, interactive queries on large-scale datasets, such as in e-commerce analytics, financial reporting, or IoT data analysis meets developers should learn clickhouse when building applications that require fast analytical queries on massive datasets, such as real-time dashboards, ad-hoc reporting, or monitoring systems. Here's our take.

Apache Kylin

Nice Pick

Developers should learn Apache Kylin when building data warehousing or business intelligence solutions that require fast, interactive queries on large-scale datasets, such as in e-commerce analytics, financial reporting, or IoT data analysis

Pros

• It is particularly valuable in scenarios where traditional relational databases struggle with performance on big data, as it leverages Hadoop's scalability while providing OLAP-like query speeds through pre-aggregation
• Related to: apache-hadoop, apache-spark

Cons

• Specific tradeoffs depend on your use case

ClickHouse

Developers should learn ClickHouse when building applications that require fast analytical queries on massive datasets, such as real-time dashboards, ad-hoc reporting, or monitoring systems

Pros

• It is particularly useful in scenarios like e-commerce analytics, IoT data analysis, and log aggregation, where low-latency queries on billions of rows are essential for decision-making
• Related to: sql, olap-databases

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Apache Kylin is a platform while ClickHouse is a database. We picked Apache Kylin based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Apache Kylin wins

Based on overall popularity. Apache Kylin is more widely used, but ClickHouse excels in its own space.