Flink Features
Let’s now learn features of Apache Flink in this Apache Flink tutorial-
- Streaming – Flink is a true stream processing engine.
- High performance – Flink’s data streaming Runtime provides very high throughput.
- Flink can process the data in sub-second range without any delay/
- Event Time and Out-of-Order Events – Flink supports stream processing and windowing where events arrive delayed or out of order.
- Lightning fast speed – Flink processes data at lightning fast speed (hence also called as 4G of Big Data).
- Fault Tolerance – Failure of hardware, node, software or a process doesn’t affect the cluster.
- Memory management – Flink works in managed memory and never get out of memory exception.
- Broad integration – Flink can be integrated with the various storage system to process their data, it can be deployed with various resource management tools. It can also be integrated with several BI tools for reporting.
- Stream processing – Flink is a true streaming engine, can process live streams in the sub-second interval.
- Program optimizer – Flink is shipped with an optimizer, before execution of a program it is optimized.
- Scalable – Flink is highly scalable. With increasing requirements, we can scale the flink cluster.
- Rich set of operators – Flink has lots of pre-defined operators to process the data. All the common operations can be done using these operators.
- Exactly-once Semantics – It can maintain custom state during computation.
- Highly flexible Streaming Windows – In flink we can customize windows by triggering conditions flexibly, to get the required streaming patterns. We can create window according to time t1 to t5 and data-driven windows.
- Continuous streaming model with backpressure – Data streaming applications are executed with continuous (long-lived) operators. Flink’s streaming engine naturally handles backpressure.
- One Runtime for Streaming and Batch Processing – Batch processing and data streaming both have common runtime in flink.
- Easy and understandable Programmable APIs – Flink’s APIs are developed in a way to cover all the common operations, so programmers can use it efficiently.
- Little tuning required – Requires no memory, network, serializer to configure.
