Apache Kylin vs Microsoft Azure Data Explorer

Apache Kylin is an open-source OLAP engine for data analytics, designed for large-scale workloads with many concurrent users. Its pre-calculation approach is intended to support sub-second SQL queries. Kylin 5 can build models from SQL text, suggest index changes using query history, and use Apache Gluten as a native compute engine; the product overview describes a 2–4× improvement compared with vanilla Spark. For mixed data workloads, it supports Kafka streaming sources and fusion models for batch and streaming analysis, as well as internal tables for flexible queries and lakehouse scenarios. Teams can connect Tableau, Power BI, or Excel. A web UI supports table management, model design, job execution, and configuration. Deployment offers query, job, or all server modes. Kylin runs on Linux and uses Spark with Yarn or Standalone mode. Data storage can use HDFS or S3-compatible systems, while MySQL or PostgreSQL can hold metadata. The project is free under Apache License v2, with source and binary packages available. APIs use Basic Authentication; HTTPS is supported in Kylin 5 but disabled by default.

Microsoft Azure Data Explorer has no write-up on Specifiction yet; its figures are above.