Amazon Kinesis Video Streams vs muse.ai

Overview

Amazon Kinesis Video Streams

Stacks18

Followers51

Votes0

muse.ai

Stacks3

Followers8

Votes0

muse.ai vs Amazon Kinesis Video Streams: What are the differences?

Developers describe muse.ai as "Empower your vision". Cheapest way to host and share your video without adverts. Includes the most advanced AI powered in-video search. On the other hand, Amazon Kinesis Video Streams is detailed as "Capture, process, and store video streams for analytics and machine learning". 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.

muse.ai and Amazon Kinesis Video Streams belong to "Video Streaming" category of the tech stack.

Some of the features offered by muse.ai are:

Low-cost storage
Video search
Embedded player

On the other hand, Amazon Kinesis Video Streams provides the following key features:

Device SDKs to securely stream data from devices
Durable storage
APIs for real-time and batch data retrieval

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Detailed Comparison

Amazon Kinesis Video Streams	muse.ai
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.	Cheapest way to host and share your video without adverts. Includes the most advanced AI powered in-video search.
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	Low-cost storage;Video search;Embedded player;Embedded searchable collections;Private by default;Public channels;No ads;Video insights;Quickly find speech, faces, text, objects, sounds and more across all your content;Add custom tags for easy retrieval;Share and embed your videos in social media
Statistics
Stacks 18	Stacks 3
Followers 51	Followers 8
Votes 0	Votes 0
Integrations
Amazon EC2 Container Service Amazon Rekognition Video AWS IAM AWS Key Management Service TensorFlow OpenCV Amazon Kinesis	No integrations available

What are some alternatives to Amazon Kinesis Video Streams, muse.ai?

OpraLabs

OpraLabs is a production-grade platform for teams building media-rich, data-driven products. It combines creation tools, streaming infrastructure, AI workflows, and analytics into a single, scalable system. Getting Started 1. Project Creation Initialize a workspace in one click. Configure environments, access levels, and privacy controls from day one. 2. Asset Management Upload, organize, and inspect media at scale. Supports drag-and-drop, bulk actions, versioning, and deep metadata analysis. 3. AI Studio Generate, transform, and analyze content using integrated AI tools designed for real production workflows. 4. Communication Tools Collaborate in real time. Share assets, comment directly on content, and streamline feedback loops. Professional Creative Suite Non-Linear Video Editor Multi-track timeline with drag-and-drop editing, transitions, audio mixing, and keyframe control.

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