Software Alternatives, Accelerators & Startups
Register | Login

Azure Event Hubs VS Azure Stream Analytics

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

Draxlr
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. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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 features and specs

  • Scalability
    Azure Event Hubs can handle millions of events per second, making it highly scalable for large-scale data ingestion solutions.
  • Fully Managed
    As a fully managed service, it reduces the overhead associated with managing infrastructure, allowing teams to focus on application development.
  • Integration
    Seamlessly integrates with other Azure services like Azure Stream Analytics, Azure Functions, and more, making it a versatile solution within the Azure ecosystem.
  • Data Retention
    Supports event retention of up to seven days, allowing applications to replay streams and facilitating debugging or application state recovery.
  • Security
    Offers comprehensive security features, including encryption at rest and in transit, VNet service endpoints, and Shared Access Signatures (SAS) for access control.

Possible disadvantages of Azure Event Hubs

  • Complexity in Setup
    The initial setup and configuration can be complex for new users, especially those unfamiliar with Azure services.
  • Cost
    Costs can accumulate quickly, particularly with high-throughput or extensive data retention requirements, potentially impacting budget-conscious projects.
  • Limited On-premises Integration
    Primarily designed for cloud environments, making it less suitable for on-premises scenarios without additional integration layers.
  • Latency
    Although generally low, latency can become noticeable in high-load scenarios, which might affect applications requiring real-time processing.
  • Partition Management
    Dynamic partition scaling is not available. Once set, partition counts cannot be changed without creating a new event hub, which requires thoughtful upfront planning.

Azure Stream Analytics features and specs

  • Real-time Data Processing
    Azure Stream Analytics allows for real-time data processing, which enables businesses to analyze and process data as it is generated to make faster decisions.
  • Ease of Use
    The platform provides a simple and intuitive interface for setting up streaming jobs, making it accessible even for users with limited technical expertise.
  • Scalability
    It is designed to handle large volumes of data, allowing for automatic scaling to accommodate more data without compromising performance.
  • Integration with Azure Ecosystem
    Seamless integration with other Azure services like Azure Functions, Azure Event Hubs, and Azure Blob Storage allows for a unified cloud ecosystem.
  • Cost Efficiency
    Its pricing model based on the volume of data processed makes it cost-efficient, especially for projects that require variable or burst data processing.
  • Support for Multiple Input Sources
    It supports multiple input sources such as IoT Hub, Event Hub, and Azure Blob Storage, providing flexibility in designing the data flow architecture.

Possible disadvantages of Azure Stream Analytics

  • Limited Machine Learning Capabilities
    Azure Stream Analytics has limited built-in capabilities for complex machine learning models, requiring integration with other services for advanced analytics.
  • Complex Queries
    While powerful, the query language can be complex for users unfamiliar with SQL, potentially necessitating a learning curve for new users.
  • Geographic Availability
    Not all features are available in every Azure region, which may limit its usability for some global operations depending on the region's support.
  • Debugging and Monitoring
    Some users have reported that debugging and monitoring issues can be challenging due to limited tools compared to other more mature data processing platforms.
  • Dependency on Internet Connectivity
    As a cloud-based service, it requires reliable internet connectivity, which can be a constraint for operations in environments with unstable connections.

Azure Event Hubs videos

+ Add

Messaging with Azure Event Hubs

Azure Stream Analytics videos

+ Add

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)

Azure Event Hubs

Azure Stream Analytics

Stream Processing
42 42%
Stream Processing
58% 58
Data Management
37 37%
Data Management
63% 63
Big Data
42 42%
Big Data
58% 58
Analytics
51 51%
Analytics
49% 49

User comments

Share your experience with using Azure Event Hubs and Azure Stream Analytics. For example, how are they different and which one is better?
Log in or Post with

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 2 years 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 2 years 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 2 years 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 4 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.

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

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

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

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

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

Loading...