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
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Apache Flink is a powerful and versatile open-source stream processing framework with powerful event-time processing capabilities.
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
Kafka Streams is a client library for building applications and microservices that process and analyze data stored in Apache Kafka.
Amazon Kinesis is a platform for streaming data on AWS, offering capabilities to collect, process, and analyze real-time, streaming data.
Pricing varies based on usage
Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
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 Beam is an open-source, unified model for defining both batch and streaming data-parallel processing pipelines.
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