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Faust is a Python stream processing library, designed for building high-performance streaming applications.
Kafka Streams is a client library for building applications and microservices that process and analyze data stored in Apache Kafka.
Apache Flink is a powerful and versatile open-source stream processing framework with powerful event-time processing capabilities.
Spark Streaming is a distributed stream-processing component for building applications that process continuously arriving data with Apache Spark. Its micro-batch architecture integrates...
Free, open source
Google Cloud Dataflow is a fully managed service for stream and batch processing of data at high scale with low latency.
Pricing is based on usage and resources consumed.
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning, and graph processing.
Open-source
Apache Beam is an open-source, unified model for defining both batch and streaming data-parallel processing pipelines.
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