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Amazon Kinesis Video Streams vs Wowza: What are the differences?
Introduction:
In this markdown, we will compare Amazon Kinesis Video Streams and Wowza based on key differences.
Data Management and Processing: Amazon Kinesis Video Streams offers built-in capabilities to securely ingest, process, and store video data. It allows real-time processing through integration with other AWS services like Amazon Rekognition for video analytics. On the other hand, Wowza provides a flexible platform for video streaming and can integrate with third-party services for data management and processing.
Scalability and Availability: Amazon Kinesis Video Streams is a fully managed service provided by AWS, ensuring high scalability and availability. It can handle streaming data from millions of sources and supports automatic scaling. Wowza, although scalable, requires manual configuration and management for ensuring availability during peak loads.
Security and Compliance: Amazon Kinesis Video Streams offers encryption in transit and at rest to ensure data security. It also provides fine-grained access control through Identity and Access Management (IAM) policies. Wowza, while providing some security features, may require additional configurations and third-party tools for ensuring the same level of security and compliance.
Live Streaming and Video-on-Demand: Amazon Kinesis Video Streams primarily focuses on live streaming use cases and provides real-time ingestion, processing, and delivery of video data. Wowza, on the other hand, supports both live streaming and video-on-demand use cases, allowing playback and delivery of pre-recorded content alongside live streaming.
Ease of Integration: Amazon Kinesis Video Streams seamlessly integrates with other AWS services, enabling developers to build end-to-end video analytics solutions. It provides SDKs and APIs for easy integration with various programming languages and frameworks. Wowza, while providing extensive integration options, may require additional effort in setting up and configuring integrations with third-party services.
Pricing Model: Amazon Kinesis Video Streams follows a pay-as-you-go pricing model, where users are charged based on the volume of ingested and processed video data. It offers different pricing tiers based on usage requirements. Wowza has different pricing options based on the number of concurrent viewers, usage needs, and additional features required.
In summary, Amazon Kinesis Video Streams is a scalable, fully-managed service focused on real-time ingestion, processing, and storage of video data, with seamless integration into the AWS ecosystem. Wowza, while providing flexibility and support for both live streaming and video-on-demand, requires additional configuration and management, with more pricing options and integration efforts.
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 ?
