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Top 9 Analytics in Stream Processing

The best Analytics within the Stream Processing category - based on our collection of reviews & verified products.

Apache NiFi Apache Kafka Amazon Kinesis Azure IoT Central Kafka AT&T IoT Platform Confluent AWS Step Functions Azure Data Factory

Summary

The top products on this list are Apache NiFi, Apache Kafka, and Amazon Kinesis. All products here are categorized as: Software for analyzing data and extracting meaningful insights. Tools for processing and managing real-time data streams. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. An easy to use, powerful, and reliable system to process and distribute data.
    Pricing:
    • Open Source

    #Analytics #Web Analytics #Mobile Analytics 18 social mentions

  2. Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
    Pricing:
    • Open Source

    #Stream Processing #Data Integration #ETL 121 social mentions

  3. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

    #Stream Processing #Data Management #Analytics 23 social mentions

  4. Build and manage enterprise IoT solutions with Azure IoT Central, an end-to-end application platform to quickly connect millions of devices.

    #IoT Platform #IoT #Analytics

  5. 5
    Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

    #Data Integration #Monitoring Tools #Stream Processing

  6. NOTE: AT&T IoT Platform has been discontinued.
    AT&T IoT Platform offers fully managed cloud services and connectivity for IoT solution developers.

    #Analytics #Product Analytics #Data Dashboard

  7. Confluent offers a real-time data platform built around Apache Kafka.
    Pricing:
    • Open Source

    #Stream Processing #Data Management #Big Data 1 social mentions

  8. AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.

    #Workflow Automation #Automation #Workflows 59 social mentions

  9. Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

    #ETL #Data Integration #Workflow Automation 3 social mentions

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