

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics.
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 9 |
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Azure Event Hubs is a scalable and fully managed data streaming platform capable of processing millions of events per second. It provides real-time analytics and seamless integration options for efficient event ingestion and processing.
Azure Event Hubs enables real-time data processing and capabilities that align with IoT, big data, and cloud integrations. Ideal for handling large-scale event data, it supports automatic scaling and offers low latency to capture varied data sources. Users benefit from both a secure platform for handling high-volume operations and support for multiple protocols such as AMQP, HTTP, and Kafka, providing versatility for different application needs.
What are the essential features of Azure Event Hubs?In industry-specific scenarios, Azure Event Hubs excels in sectors requiring real-time processing, such as finance and telecommunications, where immediate data insights are crucial for operational efficiency. In healthcare, it supports electronic health record systems by enabling secure, real-time patient data processing and analytics.
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