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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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
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✓ Integrate Online Services and Automate routine tasks without programmers and special knowledge! ✓ 400+ ready integrations available! ✓ Save up to 50% of working time after connecting ApiX-Drive!
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Seamless two-way sync between your CRM, marketing apps and Google in no time
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Confluent offers a real-time data platform built around Apache Kafka.
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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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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Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.
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Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.
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TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.
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Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
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StreamSets provides Continuous Ingest technology for the next generation of big data applications.
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SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.
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Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
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Categories: Stream Processing, Data Management, Big Data