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OBS Studio vs Wowza: What are the differences?
OBS Studio vs Wowza
Introduction
In this comparison, we will explore the key differences between OBS Studio and Wowza. OBS Studio is a free and open-source software for video recording and live streaming, while Wowza is a commercial streaming platform.
Ease of Use: OBS Studio is known for its user-friendly interface and easy setup process, making it a popular choice for beginners. On the other hand, Wowza requires more technical knowledge and expertise to set up and configure.
Features and Customization: OBS Studio offers a wide range of features, including scene switching, audio mixing, and video filters, allowing users to customize their streaming experience extensively. Wowza, on the other hand, provides advanced features like DVR, adaptive bitrate streaming, and content protection, making it more suitable for professional broadcasters with complex streaming needs.
Platform Support: OBS Studio is compatible with multiple platforms, including Windows, macOS, and Linux, making it accessible to a broader user base. In contrast, Wowza primarily supports Windows and Linux, with limited macOS compatibility.
Scalability: While OBS Studio is capable of handling multiple sources and streaming to popular platforms like Twitch and YouTube, it lacks the scalability offered by Wowza. Wowza is designed to handle large-scale streaming events and supports adaptive streaming for better performance and reach.
Reliability and Support: OBS Studio being an open-source software, relies on community support and user-driven troubleshooting. In contrast, Wowza provides dedicated customer support, professional services, and regular updates for bug fixes and security patches, ensuring a more reliable streaming experience.
Cost: OBS Studio is entirely free to use, making it an excellent option for budget-conscious users. Wowza, being a commercial streaming platform, offers various subscription plans based on usage and specific requirements, making it more suitable for businesses and enterprise-level streaming needs.
In summary, OBS Studio is a user-friendly and cost-effective option for beginners and small-scale streaming needs, while Wowza offers advanced features, scalability, and professional support for larger-scale and professional broadcasting requirements.
We want to make a live streaming platform demo to show off our video compression technology.
Simply put, we will stream content from 12 x 4K cameras ——> to an edge server(s) containing our compression software ——> either to Bitmovin or Wowza ——> to a media player.
What we would like to know is, is one of the above streaming engines more suited to multiple feeds (we will eventually be using more than 100 4K cameras for the actual streaming platform), 4K content streaming, latency, and functions such as being to Zoom in on the 4K content?
If anyone has any insight into the above, we would be grateful for your advice. We are a Japanese company and were recommended the above two streaming engines but know nothing about them as they literally “foreign” to us.
Thanks so much.
I've been working with Wowza Streaming Engine for more than 10 years, and it's likely very well suited to your application, particularly if you intend to host the streaming engine software. But, you should confirm that both the encoding format (e.g. H.264) and transport protocol (e.g. RTMP) you intend to use is supported by Wowza.
We would like to connect a number of (about 25) video streams, from an Amazon S3 bucket containing video data to endpoints accessible to a Docker image, which, when run, will process the input video streams and emit some JSON statistics.
The 25 video streams should be synchronized. Could people share their experiences with a similar scenario and perhaps offer advice about which is better (Wowza, Amazon Kinesis Video Streams) for this kind of problem, or why they chose one technology over the other?
The video stream duration will be quite long (about 8 hours each x 25 camera sources). The 25 video streams will have no audio component. If you worked with a similar problem, what was your experience with scaling, latency, resource requirements, config, etc.?
I have different experience with processing video files that I'll describe below. It might be helpful or at least make you think a bit diffferent about the problem. What I did (part of it is a mistake): To increase the level of parallelism at the time consuming step which was the video upload, using a custom cmd tool written in Python, I splitted the input videos to much smaller chunks (without losing their ordering - just file name labeling with timestamp) . It then uploaded the chunks to S3. That triggered a few Lambdas that each first pulled a chunked video, did the processing with ffmpeg (the Lambdas were the mistake - at that time the local Lambda storage was up to 512MB so lots of chunks and lots of Lambdas had to be in place, also Lambda are hell to debug), later called Rekognition and later using AWS Elemental MediaConvert to rebuild the full length video. I would use some sort of ECS deployment where processing is triggered by S3 event, and scale the number of Fargate nodes dependent on the number of chucks/videos. Then each processor pulls its video (not stream) to its local storage (local EBS drive) and works. I failed to understand why are you trying to stream videos that are basically static, as a file, or that putting the files on S3 is a current limitation (while your input videos are 'live' and streaming) that you're trying to remove ?
