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  1. Stackups
  2. Application & Data
  3. Video Hosting
  4. Video Streaming
  5. Amazon Kinesis Video Streams vs api.video

Amazon Kinesis Video Streams vs api.video

OverviewDecisionsComparisonAlternatives

Overview

Amazon Kinesis Video Streams
Amazon Kinesis Video Streams
Stacks18
Followers51
Votes0
api.video
api.video
Stacks12
Followers60
Votes0

Amazon Kinesis Video Streams vs api.video: What are the differences?

Introduction

Amazon Kinesis Video Streams and api.video are both popular services for efficiently handling video streams. However, there are significant differences between the two platforms that cater to different users and use cases.

  1. Data Retention Policies: Amazon Kinesis Video Streams allows users to define custom retention periods for their video streams, which offers flexibility in managing storage costs and compliance requirements. In contrast, api.video does not currently provide explicit features for setting data retention policies, potentially limiting control over storage management for users who require strict data retention guidelines.

  2. Integration Capabilities: Amazon Kinesis Video Streams integrates seamlessly with other AWS services, enabling users to build complex data pipelines and leverage the entire AWS ecosystem for analytics and processing. On the other hand, api.video focuses more on providing a user-friendly video hosting and streaming platform without extensive integration capabilities with external systems or services, making it more suitable for straightforward video delivery needs.

  3. Scalability and Performance: Amazon Kinesis Video Streams is designed to handle massive volumes of video data in real-time, making it a robust choice for applications that require high scalability and performance. In comparison, while api.video offers reliable video streaming capabilities, it may not be as optimized for processing large volumes of real-time video data as Amazon Kinesis Video Streams.

  4. Cost Structure: The pricing models of Amazon Kinesis Video Streams and api.video differ significantly. Amazon Kinesis Video Streams follows a pay-as-you-go pricing model based on the volume of data ingested and processed, which can be cost-effective for applications with fluctuating data usage. In contrast, api.video offers tiered pricing plans based on specific features and usage limits, potentially providing more predictable costs for users with stable video streaming requirements.

Summary

In summary, Amazon Kinesis Video Streams stands out for its robust scalability and integration capabilities, making it suitable for demanding video processing applications, while api.video focuses on simplicity and user-friendliness for straightforward video hosting and streaming needs.

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Advice on Amazon Kinesis Video Streams, api.video

Kerry
Kerry

Apr 23, 2020

Needs adviceonAmazon S3Amazon S3DockerDockerWowzaWowza

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.?

88.9k views88.9k
Comments
Harsh
Harsh

Machine Learning Engineer at Quantiphi

Sep 24, 2020

Needs adviceonAmazon RekognitionAmazon RekognitionAmazon SageMakerAmazon SageMakerAmazon Kinesis Video StreamsAmazon Kinesis Video Streams

We have to process the video stream to identify emotions. For which we need to use Amazon Rekognition/custom model on Amazon SageMaker. With Kinesis WebRTC Javascript SDK, currently, video can be streamed only into the kinesis signaling channel. Signaling channel data is available for streaming only and not processing (ML). So, how can we get real-time data for processing into Kinesis Streams from the frontend?

For streaming the video from frontend to backend into the Amazon Kinesis Video Streams for processing, we tested with Kinesis webRTC JavaScript SDK, and we are facing issues while implementing as mentioned above, so would Chime SDK serve as an alternative to this?

In Rekognition, "create-stream-processor" has a settings parameter. This currently only supports FaceSearch. We are looking to Detect and analyze faces. Is that possible with "create-stream-processor" in the Python SDK? Or do we have to use the Java SDK?

25.3k views25.3k
Comments

Detailed Comparison

Amazon Kinesis Video Streams
Amazon Kinesis Video Streams
api.video
api.video

Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing. Kinesis Video Streams automatically provisions and elastically scales all the infrastructure needed to ingest streaming video data from millions of devices. It also durably stores, encrypts, and indexes video data in your streams, and allows you to access your data through easy-to-use APIs.

api.video is an API-first platform which enables developers to build, scale and operate on-demand and live video streaming in their own apps and platforms in minutes, with just a few lines of code.

Device SDKs to securely stream data from devices; Durable storage; APIs for real-time and batch data retrieval; Video stream parser library; Video playback in the console; Build-in integration with Amazon Rekognition Video; Automatic data encryption in transit; Automatic data encryption at rest with AWS KMS; Access control with AWS IAM; Automatic indexing for search and retrieval; Fully managed; Pay per use
Quick and Easy Integration; Worldwide delivery; HTML5 adaptive video player; Access to m3u8 manifest; VOD and live streaming webhooks; Instant encoding; AES 128bit Encryption; Guaranteed Decoding Keys; Player and Analytics; Live Streaming; Private live streaming; DVR feature; Edge Video Infrastructure
Statistics
Stacks
18
Stacks
12
Followers
51
Followers
60
Votes
0
Votes
0
Integrations
Amazon EC2 Container Service
Amazon EC2 Container Service
Amazon Rekognition Video
Amazon Rekognition Video
AWS IAM
AWS IAM
AWS Key Management Service
AWS Key Management Service
TensorFlow
TensorFlow
OpenCV
OpenCV
Amazon Kinesis
Amazon Kinesis
Golang
Golang
Node.js
Node.js
Postman
Postman
PHP
PHP
Python
Python
Kotlin
Kotlin
JavaScript
JavaScript
C#
C#
React Native
React Native
iOS
iOS

What are some alternatives to Amazon Kinesis Video Streams, api.video?

OBS Studio

OBS Studio

It is a free and open source software for video recording and live streaming. It is equipped with a powerful API, enabling plugins and scripts to provide further customization and functionality specific to your needs. It supports all your favorite streaming platforms and more.

Wowza

Wowza

It offers a customizable live streaming platform to build, deploy and manage high-quality video, live and on-demand. It powers professional-grade streaming for any use case and any device.

Mux Video

Mux Video

It is an API-first platform, powered by data and designed by video experts to make the beautiful video possible for every development team.

Bitmovin

Bitmovin

It provides adaptive streaming infrastructure for video publishers and integrators. Fastest cloud encoding and HTML5 Player, play Video Anywhere.

Lightspeed

Lightspeed

It is a self contained OBS -> FTL -> WebRTC live streaming server. It is comprised of 3 parts once configured anyone can achieve sub-second OBS to the browser livestreaming.

Ant Media Server

Ant Media Server

It is streaming engine software that provides adaptive, ultra low latency streaming by using WebRTC technology with ~0.5 seconds latency. It is both horizontally and vertically scalable. It can run on-premise or on-cloud.

OneStream Live

OneStream Live

Schedule & Live Stream Recorded Videos to 40+ Social Media Platforms Simultaneously. Multicast to 40+ streaming networks including Facebook Live, YouTube, Twitter's Periscope, Twitch, Mixer, Smashcast & many more.

muse.ai

muse.ai

Cheapest way to host and share your video without adverts. Includes the most advanced AI powered in-video search.

Owncast

Owncast

It is a self-hosted live video and web chat server for use with existing popular broadcasting software. Point your live stream at a server you personally control and regain ownership over your content.

Contus Vplay

Contus Vplay

It is a video on demand solution that renders state-of-the-art video streaming, management and monetization possibilities for video creators, broadcasters and publishers. Integrated with paywall systems and security integrations, it is a name to trust to build your own video on demand website like Netflix, Hulu and the likes.

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