🌊 Stream Processing
Tools for processing and managing real-time data streams.
The best Stream Processing Products based on votes, our collection of reviews, verified products and a total of 528 factors
Top Stream Processing Products
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/apache-kafka-alternatives
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
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/rabbitmq-alternatives
RabbitMQ is an open source message broker software.
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/amazon-sqs-alternatives
Amazon Simple Queue Service is a fully managed message queuing service.
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/amazon-kinesis-alternatives
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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/apache-activemq-alternatives
Apache ActiveMQ is an open source messaging and integration patterns server.
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/ibm-mq-alternatives
IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
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/apache-flink-alternatives
Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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/zeromq-alternatives
ZeroMQ is a high-performance asynchronous messaging library.
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/confluent-alternatives
Confluent offers a real-time data platform built around Apache Kafka.
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/google-cloud-pub-sub-alternatives
Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
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/the-pi-system-alternatives
With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.
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/spark-streaming-alternatives
Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
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/apache-spark-alternatives
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.