RidgeRun Media Over Quic GStreamer Plugin GstMoQ

RidgeRun Media Over Quic GStreamer Plugin GstMoQ

Regular price
Sold out
Sale price
$0.00

GStreamer Media over QUIC Plugin (GstMoQ) – Low-Latency Media Streaming over QUIC

GstMoQ brings Media over QUIC (MoQ) streaming capabilities directly into GStreamer pipelines, enabling modern, low-latency, and scalable media delivery over QUIC / HTTP-3. Designed for next-generation media transport, GstMoQ allows developers to publish and subscribe to audio and video streams , ideal for edge, and AI-driven systems.

By leveraging MoQ, GstMoQ eliminates many of the limitations of traditional streaming protocols, providing improved latency, better network resilience, and seamless traversal across modern networks.

Built with GStreamer developers in mind, GstMoQ integrates cleanly into existing pipelines while exposing the flexibility required to build real-time, distributed media systems.

Designed with GStreamer developers in mind, GstRtspSink simplifies pipeline integration while supporting a wide variety of formats and flexible stream mappings.


Key Features:

Media over QUIC (MoQ) Support
Publish and consume media streams using the emerging MoQ standard, designed specifically for real-time media delivery over QUIC.

Low-Latency Streaming
Optimized for minimal end-to-end latency compared to traditional RTSP- or HTTP-based approaches, making it suitable for real-time monitoring and interactive applications.

Publisher and Subscriber Architecture
Supports both media publishing and media consumption roles, enabling point-to-point or distributed streaming workflows.

Multi-Stream Media Support
Stream video and audio as independent or synchronized tracks within the same MoQ session.

Modern Network Transport
Built on QUIC, offering improved congestion control, faster connection setup, and better performance in lossy or mobile networks.

GStreamer Native Integration
Implemented as native GStreamer elements, allowing seamless integration with existing pipelines, encoders, and processing elements.


Example Use Case

An edge AI system deployed on an embedded Linux device captures video and metadata from multiple sensors. Using GstMoQ, the system publishes compressed video and inference metadata over QUIC to a cloud-based subscriber for real-time visualization and analytics.

Thanks to MoQ’s low latency and QUIC’s network resilience, the system maintains smooth streaming performance even across unreliable or high-latency networks.


Use Cases

  • Edge AI systems streaming video and metadata to the cloud

  • Robotics and teleoperation requiring low-latency media transport

  • Real-time analytics pipelines over modern HTTP networks

  • Distributed media processing across cloud and edge environments

  • Experimental and next-generation streaming architectures based on MoQ


Supported Media Types

  • Video: H.264 (codec support depends on the GStreamer pipeline)

  • Audio: AAC audio codec


Supported Platforms

  • x86 (desktop and server Linux)

  • NVIDIA Jetson platforms

  • Any Linux platform with:

    • GStreamer 1.2.x and up

    • QUIC-capable networking stack


What’s Included

  • RidgeRun’s GstMoQ GStreamer plugin

  • Sample pipelines for publishing and subscribing media over MoQ

  • Usage documentation


Built by GStreamer Experts

With nearly two decades of experience in embedded multimedia and real-time streaming systems, RidgeRun delivers production-quality GStreamer solutions trusted by customers worldwide. GstMoQ enables developers to adopt next-generation media transport technologies today, while maintaining the flexibility and power of GStreamer.

 Read the full usage guide here

 

Monthly Subscription

Monthly Subscription

Hire RidgeRun at a flat monthly rate for a maximum of 8 hours per day, 40 hours per week each month. Get fast interaction with engineers working on your project, weekly 45 minute calls to update you on our progress, and the complete engagement and expertise of our engineering team.

Work With Us

Customer Reviews

“I must say thus far yourself and the entire RidgeRun team have been a pleasure to work with. I realize what we have been asking for is on the demanding end of the spectrum. I am genuinely appreciative for all of the assistance you’ve provided us so far and have shown a notable amount of good-will in this effort. It has not gone unnoticed.”

Customer industry:

AudioVisual Devices

Customer Reviews

“It's been an absolute pleasure working with you, and everyone there at RidgeRun continues to impress us here. I've worked with many contractors and companies over my career and you are by far the most proficient and knowledgeable.”

Customer industry:

Drones

Customer Reviews

"As a side note: just to let you know, I'm really happy to be working with RidgeRun in general. It's pretty clear that you tell it like you see it, and know what you do and don't know; it's really refreshing. That's super rare on these kinds of technical engagements when everyone seems to either want to claim expertise they don't have, or are so cautious they are don't actually say anything useful"

Customer industry:

Drones and Robotics

Customer Reviews

"RidgeRun has been so good that part of me doesn't even want to write this testimonial—because if more companies discover them, I might have to share the amazing engineers I get to work with. But credit where credit's due: their team is sharp, responsive, and consistently delivers beyond expectations. They make tough technical challenges feel easy, and that's rare."

Ayman

Director of Software

Work with RidgeRun for Embedded Engineering Services

Our embedded development services team has the knowledge and expertise necessary...

Contact Us   ›