Software Alternatives & Reviews

Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.

Azure Stream Analytics Alternatives

The best Azure Stream Analytics alternatives based on verified products, community votes, reviews and other factors.
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  1. 24

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

  2. 21

    Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

  3. 18

    Seamless two-way sync between your CRM, marketing apps and Google in no time

  4. 21

    Confluent offers a real-time data platform built around Apache Kafka.

  5. 17

    Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

  6. 18

    With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

  7. 15

    Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

  8. 14

    Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.

  9. 11

    TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

  10. 11

    Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

  11. 12

    StreamSets provides Continuous Ingest technology for the next generation of big data applications.

  12. SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.

  13. Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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Author: | Publisher: SaaSHub
Categories: Stream Processing, Data Management, Big Data