What are the differences between Kylin and Flink?

Kylin and Flink are two distinct open source projects, each with its own unique uses and functionalities.

1. Kylin is a distributed analytical engine designed to handle large datasets, with a focus on providing fast query and analysis capabilities, particularly for OLAP scenarios. It uses columnar storage and inverted indexing to accelerate queries and offers features for multidimensional analysis and complex queries.
2. Flink is a stream processing engine and batch processing framework used for real-time data stream processing and offline batch processing. It supports event-driven applications and can handle real-time data streams as well as finite historical data streams. Flink offers a rich set of APIs and libraries for handling complex data processing tasks such as real-time ETL, streaming analytics, and machine learning.

In summary, Kylin is mainly used for large-scale data querying and analysis in OLAP scenarios, while Flink is primarily used for real-time data stream processing and offline batch processing. Their design goals, purposes, and functions are all different.