Software Alternatives, Accelerators & Startups
Register | Login

IBM Streaming Analytics VS Azure Event Hubs

Compare IBM Streaming Analytics VS Azure Event Hubs 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

IBM Streaming Analytics logo IBM Streaming Analytics

IBM Streaming Analytics enables you to analyze a broad range of streaming text, video, audio, geospatial and sensor data.

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.
  • IBM Streaming Analytics Landing page
    Landing page //
    2023-02-11
  • Azure Event Hubs Landing page
    Landing page //
    2023-03-27

IBM Streaming Analytics features and specs

No features have been listed yet.

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.

IBM Streaming Analytics videos

+ Add

IBM Streaming Analytics and Python

Azure Event Hubs videos

+ Add

Messaging with Azure Event Hubs

Category Popularity

0-100% (relative to IBM Streaming Analytics and Azure Event Hubs)

IBM Streaming Analytics

Azure Event Hubs

Data Management
36 36%
Data Management
64% 64
Stream Processing
30 30%
Stream Processing
70% 70
Elastic Search
100 100%
Elastic Search
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using IBM Streaming Analytics and Azure Event Hubs. 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.

IBM Streaming Analytics mentions (0)

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

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

What are some alternatives?

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

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

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

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

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.

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

Loading...