Using SQL or working with tabular data in Python. The PyFlink Table API allows you to write powerful relational queries in a way that is similar to Then PyFlink makes it simpler to leverage the full capabilities of the Flink ecosystem.ĭepending on the level of abstraction you need, there are two different APIs that can be used in PyFlink: PyFlink Table API and PyFlink DataStream API. If you’re already familiar with Python and libraries such as Pandas, Such as real-time data processing pipelines, large-scale exploratory data analysis, Machine Learning (ML) PyFlink is a Python API for Apache Flink that allows you to build scalable batch and streaming workloads, Learn more about Flink at Python Packaging ![]() ![]() Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.
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