Skip to main content
Redhat Developers  Logo
  • AI

    Get started with AI

    • Red Hat AI
      Accelerate the development and deployment of enterprise AI solutions.
    • AI learning hub
      Explore learning materials and tools, organized by task.
    • AI interactive demos
      Click through scenarios with Red Hat AI, including training LLMs and more.
    • AI/ML learning paths
      Expand your OpenShift AI knowledge using these learning resources.
    • AI quickstarts
      Focused AI use cases designed for fast deployment on Red Hat AI platforms.
    • No-cost AI training
      Foundational Red Hat AI training.

    Featured resources

    • OpenShift AI learning
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

    Red Hat AI Factory with NVIDIA

    • Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.
    • Explore the solution
  • Learn

    Self-guided

    • Documentation
      Find answers, get step-by-step guidance, and learn how to use Red Hat products.
    • Learning paths
      Explore curated walkthroughs for common development tasks.
    • Guided learning
      Receive custom learning paths powered by our AI assistant.
    • See all learning

    Hands-on

    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.
    • Interactive labs
      Learn by doing in these hands-on, browser-based experiences.
    • Interactive demos
      Click through product features in these guided tours.

    Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics

    Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
  • Build

    Get started

    • Red Hat build of Podman Desktop
      A downloadable, local development hub to experiment with our products and builds.
    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.

    Download products

    • Access product downloads to start building and testing right away.
    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset

    References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
  • Community

    Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions

    Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github

    Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

    Join the Red Hat Developer program

    • Download Red Hat products and project builds, access support documentation, learning content, and more.
    • Explore the benefits

Persistence vs. Durability in Messaging. Do you know the difference?

August 10, 2016
Mary Cochran
Related topics:
Java
Related products:
Streams for Apache Kafka

    Messaging is a critical aspect of integrating systems, and while there are many different messaging platforms and infrastructures, a common request is for "zero loss of messages."  From there, the terms "Persistence" and "Durability" often get thrown around, but what do those two things really mean?

    Persistence

    At a basic level, persistence means that when failure occurs during message processing, the message will still be there (where you found it the first time) to process again once the failure is resolved.

    Take JBoss Active MQ for example. In AMQ we have brokers that do the communicating of the messages. For simplicity's sake, let's assume we only have a single broker doing the communication to and from a queue. Should this broker be shut down while a message is in the queue, ready to be processed, once the broker comes back up the message will be processed normally.

    So how does this work?  In order for messages to "persist" they must be stored somewhere other than just broker memory.  Depending on the platform this could be a temporary folder, a database, a log file, etc.

    Now, why would anyone not use persistent messaging?  Well, for one thing it tends slows things down. Otherwise, maybe some messages are okay to lose in the event of a broker shutting down, and it's not worth the complexity.

    If you think of messaging in the context of status checking, the system may want to periodically ensure that a device is up and running. The device send a status message every few minutes. In the event of a broker restart without using persistent messaging we may lose 1 status message, but that might not be a problem since another message is probably on its way --- in this case some data-loss may be acceptable.

    Durability

    Queues and Topics are important parts of messaging (particularly JMS). A queue by itself is great for point-to-point messaging, often one producer to one consumer. Topics on the other hand are most often used when you have a single producer (or multiple for the same purpose) and many consumers.

    A common pattern is to have the producer send the message to the topic and then have the queues subscribe to the topic. This allows each queue to receive its own copy of the message. But what happens to the message if it is sent to the topic, but no queues are online (remember our queues subscribe to the topic)?

    This is where durability comes into play. When a durable subscription is set up between a queue and a topic, the queue can be offline when the message hits the topic. Once the queue comes back online, the message can be received.

    If the subscription is non-durable, then any messages received to the topic while the topic subscriber is offline will not be received by the subscriber (in this case the queue).

    Preventing Message Loss

    So what do we need to prevent message loss?  If you are using both queues and topics, then using both persistent messaging and durable subscriptions is your best bet. This will ensure you have a back up of the message in case of broker failure and that your subscriptions will always receive the proper messages. Just remember that certain messaging systems, such as Amazon's SQS and SNS, may not support durable subscriptions.

    Last updated: February 22, 2024

    Recent Posts

    • Every layer counts: Defense in depth for AI agents with Red Hat AI

    • Fun in the RUN instruction: Why container builds with distroless images can surprise you

    • Trusted software factory: Building trust in the agentic AI era

    • Build a zero trust AI pipeline with OpenShift and RHEL CVMs

    • Red Hat Hardened Images: Top 5 benefits for software developers

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Chat Support

    Please log in with your Red Hat account to access chat support.