What is Apache Flink?
Apache Flink is a highly scalable, fault-tolerant, and efficient open-source stream processing framework designed for distributed, high-performance, and real-time data analytics applications. It offers a unified API for both batch and streaming data processing, allowing developers to build comprehensive data pipelines that seamlessly handle a wide range of data processing requirements
Highlights
- Supports both batch and streaming data processing within a single system, enabling a wide range of analytical and real-time use cases
- Provides elegant and concise APIs in Java and Scala, allowing developers to write efficient and maintainable analytical programs
- Highly scalable and fault-tolerant, capable of handling large-scale data processing tasks across distributed clusters
- Ensures accurate and reliable data processing with built-in support for exactly-once semantics and checkpoint-based fault tolerance
- Offers a versatile architecture that can be deployed on a variety of platforms, including on-premises, cloud, and hybrid environments
Features
Custom type analysis and serialization stack for
Custom memory management to guarantee efficient,
Flexible and expressive windowing semantics for
Built-in program optimizer that chooses the
Hybrid batch/streaming runtime that supports