Apache Flink vs Mule: What are the differences?
Apache Flink: Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala; Mule: Revolutionizing the way the world connects data and applications. Its mission is to connect the world’s applications, data and devices. It makes connecting anything easy with Anypoint Platform™, the only complete integration platform for SaaS, SOA and APIs. Thousands of organizations in 60 countries, from emerging brands to Global 500 enterprises, use it to innovate faster and gain competitive advantage.
Apache Flink and Mule can be categorized as "Big Data" tools.
Some of the features offered by Apache Flink are:
- Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
- Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
- Flexible and expressive windowing semantics for data stream programs
On the other hand, Mule provides the following key features:
- Connects data
- Connects applications
- Integration platform
Apache Flink is an open source tool with 9.75K GitHub stars and 5.22K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.