Azure Stream Analytics
Azure Stream Analytics offers real-time stream processing in the cloud.
Some of the top features or benefits of Azure Stream Analytics are: Real-time Data Processing, Ease of Use, Scalability, Integration with Azure Ecosystem, Cost Efficiency, and Support for Multiple Input Sources. You can visit the info page to learn more.
Best Azure Stream Analytics Alternatives & Competitors in 2025
The best Azure Stream Analytics alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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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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Seamless two-way sync between your CRM, marketing apps and Google in no time
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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.
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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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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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Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
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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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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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Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
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Confluent offers a real-time data platform built around Apache Kafka.
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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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StreamSets provides Continuous Ingest technology for the next generation of big data applications.
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Ergonomics keyboards, mice, and foot pedals.
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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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