Overview

Welcome to Apache Kylin™: Analytical Data Warehouse for Big Data

Apache Kylin™ is an open source Distributed Analytical Data Warehouse for big data; It was designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets.

This is the document for the latest released version (v3.1.0). Document of other versions:

• v4.0 document
• v3.0 document
• v2.4 document
• Archived

If you are interested in Kylin v4.0.0-alpha, feel free to check detail at v4.0 Wiki .

Installation & Setup

1. Installation Guide
2. Configurations
3. Deploy in cluster mode
4. Advanced settings
5. Run Kylin with Docker
6. Install Kylin on AWS EMR

Tutorial

1. Quick Start with Sample Cube
2. Web Interface
3. Cube Wizard
4. Cube Build and Job Monitoring
5. Cube Migration
6. SQL reference
7. Build Cube with Streaming Data
8. Build Cube with Spark Engine
9. Cube Build Tuning
10. Enable Query Pushdown
11. Setup System Cube
12. Optimize with Cube Planner
13. Use System Dashboard
14. Setup JDBC Data Source

Connectivity and APIs

1. ODBC driver
2. JDBC driver
3. RESTful API list
4. Build cube with RESTful API
5. Connect from MS Excel and PowerBI
6. Connect from Tableau 8
7. Connect from Tableau 9
8. Connect from MicroStrategy
9. Connect from SQuirreL
10. Connect from Apache Flink
11. Connect from Apache Spark
12. Connect from Hue
13. Connect from Qlik Sense
14. Connect from Apache Superset
15. Connect from Redash

Operations

1. Backup/restore Kylin metadata
2. Cleanup storage
3. Upgrade from old version