Apache Hudi vs Apache Kudu

Developers should learn Apache Hudi when building or managing data lakes that require real-time data ingestion, efficient upserts/deletes, and incremental processing for analytics meets developers should learn apache kudu when building real-time analytics applications that require both fast ingest of new data and efficient querying, such as iot data processing, financial trading systems, or clickstream analysis. Here's our take.

Apache Hudi

Nice Pick

Developers should learn Apache Hudi when building or managing data lakes that require real-time data ingestion, efficient upserts/deletes, and incremental processing for analytics

Pros

• It is particularly useful in scenarios like streaming ETL pipelines, real-time dashboards, and compliance-driven data management where data freshness and transactional consistency are critical
• Related to: apache-spark, apache-flink

Cons

• Specific tradeoffs depend on your use case

Apache Kudu

Developers should learn Apache Kudu when building real-time analytics applications that require both fast ingest of new data and efficient querying, such as IoT data processing, financial trading systems, or clickstream analysis

Pros

• It is particularly useful in scenarios where data needs to be updated frequently while supporting complex analytical queries, bridging the gap between OLTP and OLAP systems
• Related to: apache-hadoop, apache-spark

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

Apache Hudi wins

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