Software Alternatives & Reviews

Azure Event Hubs VS Azure Stream Analytics

Compare Azure Event Hubs VS Azure Stream Analytics and see what are their differences

Azure Event Hubs logo Azure Event Hubs

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

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.
  • Azure Event Hubs Landing page
    Landing page //
    2023-03-27
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21

Azure Event Hubs videos

Messaging with Azure Event Hubs

Azure Stream Analytics videos

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

Category Popularity

0-100% (relative to Azure Event Hubs and Azure Stream Analytics)
Stream Processing
40 40%
60% 60
Big Data
42 42%
58% 58
Data Management
38 38%
62% 62
Data Integration
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Azure Event Hubs seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Event Hubs mentions (4)

  • Anyone routing firewall logs to Microsoft Event Hubs?
    We're looking into some sort of cloud-based solution to route our Palo Alto firewall logs to across our customer base. I'm with an MSP that manages over a hundred PA firewalls. I was intrigued by the Event Hubs (https://azure.microsoft.com/en-us/products/event-hubs/) solution as a way to push logs to it and then ingest them from there into our SIEM, without having to deal with challenges of multi-tenancy and... Source: over 1 year ago
  • Microsoft Releases Stream Analytics No-Code Editor into General Availability
    Microsoft released Azure Stream Analytics no-code editor, a drag-and-drop canvas for developing jobs for stream processing scenarios such as streaming ETL, ingestion, and materializing data to data into general availability. The no-code editor is hosted in the company’s big-data streaming platform and event ingestion service, Azure Event Hubs. Interestingly, the offering follows up after Confluent's recent release... Source: over 1 year ago
  • Infrastructure as code (IaC) for Java-based apps on Azure
    Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 1 year ago
  • Setting up demos in Azure - Part 1: ARM templates
    For event infrastructure, we have a bunch of options, like Azure Service Bus, Azure Event Grid and Azure Event Hubs. Like the databases, they aren't mutually exclusive and I could use all, depending on the circumstance, but to keep things simple, I'll pick one and move on. Right now I'm more inclined towards Event Hubs, as it works similarly to Apache Kafka, which is a good fit for the presentation context. - Source: dev.to / about 3 years ago

Azure Stream Analytics mentions (0)

We have not tracked any mentions of Azure Stream Analytics yet. Tracking of Azure Stream Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Event Hubs and Azure Stream Analytics, you can also consider the following products

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

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

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

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

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

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