Software Alternatives & Startups

Amazon Machine Learning VS Kasm

Compare Amazon Machine Learning VS Kasm and see what are their differences

Amazon Machine Learning

Machine learning made easy for developers of any skill level

Rating
0 reviews
Kasm

Kasm Workspaces is a workspace streaming platform for delivering browser, desktop, and application workloads to the web browser.

Rating
0 reviews
Pricing
Open source Freemium Free trial
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Kasm seems to be a lot more popular than Amazon Machine Learning. While we know about 27 links to Kasm, we've tracked only 2 mentions of Amazon Machine Learning.

social mentions
2 vs 27
AI popularity
100% vs 0%
alternatives listed
170 vs 129

Base details

Website, pricing, platforms and company facts side by side.

Amazon Machine Learning
Kasm
Website aws.amazon.com trust.kasm.com
Pricing —
Open source Freemium Free trial Official pricing
Platforms —
Linux Google Chrome Firefox Browser Docker Windows MacOS AWS Azure +6
Company — 2019
Listed in

About Amazon Machine Learning and Kasm

In their own words, as submitted to SaaSHub.

Amazon Machine Learning
Kasm

No description of Amazon Machine Learning yet.

Kasm is changing the way that businesses deliver digital workspaces using our open-source web-native container streaming technology to establish a modern devops delivery of Desktop as a Service (DaaS), application streaming, and browser isolation. Kasm is not just a service, it is a highly...

Read more about Kasm

Features and specs

What each product offers, as listed by its team.

Amazon Machine Learning 6 features
Kasm 5 features
  • Scalability
    Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
  • Integration with AWS
    Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
  • Ease of Use
    User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
  • Performance
    Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
  • Cost-Effective
    Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
  • Prebuilt AI Services
    Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages

  • Complexity
    While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
  • Vendor Lock-In
    Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
  • Cost Management
    Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
  • Limited Customization
    Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
  • Data Privacy
    Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
  • Learning Curve
    Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.
  • Security
    Kasm provides a secure environment by keeping web browsing and application usage isolated from the local machine, reducing the risk of malware and other security threats.
  • Ease of Deployment
    Kasm offers an easy deployment process, allowing organizations to set up and manage virtualized workspaces quickly.
  • Scalability
    The platform can scale according to the organization's needs, supporting a large number of simultaneous users.
  • Cross-Platform Compatibility
    Kasm supports access from various devices and operating systems, providing flexibility for users.
  • Centralized Management
    Administrators can easily manage and monitor users and workspaces from a centralized console, simplifying administrative tasks.

Analysis

An editorial look at what each product does well and who it suits.

Amazon Machine Learning
Kasm

Overall verdict

  • Amazon Machine Learning is a good fit for businesses that need a reliable cloud-based machine learning platform, especially those already utilizing AWS services. Its scalability and integration capabilities make it suitable for a wide range of machine learning tasks.

Why this product is good

  • Amazon Machine Learning offers scalable solutions integrated with AWS services, making it a strong choice for users already within the AWS ecosystem. Its tools are built to handle large datasets and provide robust infrastructure, contributing to ease of deployment and management. Additionally, the service enables developers and data scientists to build sophisticated models without requiring deep machine learning expertise.

Recommended for

  • Developers and data scientists seeking seamless integration with AWS cloud services.
  • Organizations handling large-scale data analyses and machine learning projects.
  • Enterprises that prioritize scalability and flexibility in their machine learning operations.
  • Teams looking for a platform that supports both novice and expert users with varying levels of machine learning expertise.

Overall verdict

  • Kasm is considered a good solution for organizations seeking secure, scalable, and flexible browser-based workspaces and application streaming. Its strong emphasis on security, combined with its user-friendly interface and compatibility, makes it a favorable choice for many businesses.

Why this product is good

  • Kasm is a platform that provides containerized workspaces for browser-based web desktops and application streaming. It offers features such as secure access, scalability, and flexibility, making remote work and web application deployment efficient and straightforward. It is particularly noted for its robust security and ease of integration with existing systems.

Recommended for

  • Organizations requiring secure remote access solutions
  • IT professionals looking for scalable deployment options
  • Businesses wanting to streamline application delivery through web-based platforms
  • Teams needing flexible workspace solutions with minimal infrastructure changes

Videos

Walkthroughs and reviews on video.

Amazon Machine Learning 2 videos + Add
Kasm 3 videos + Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos

  • - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Kasm Workspaces v1.15 Release

More videos

  • - Kasm Workspaces - Configuration and Platform Overview
  • - Kasm Workspaces - Overview

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Amazon Machine Learning
Kasm
100% 100%
AI
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Amazon Machine Learning and Kasm. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Amazon Machine Learning 2 mentions
Kasm 27 mentions
  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: about 4 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 5 years ago
  • I Want Everything Local – Building My Offline AI Workspace
    Playing with local LLMs is indeed fun. I use Kasm workspaces[0] to run a desktop session with ollama running on the host. Gives me the isolation and lets me experiment with all manner of crazy things (I tried to make a computer-use AI... - Source: Hacker News / about 1 year ago
  • Show HN: Lapdev, a new open-source remote dev environment management software
    Looks like Kasm Workspaces [1] for developers, I'll give it a try. [1] https://kasmweb.com/. - Source: Hacker News / over 2 years ago
  • Calibre Docker installation issue
    [migrations] started [migrations] no migrations found Usermod: no changes ─────────────────────────────────────── ██╗ ███████╗██╗ ██████╗ ██║ ██╔════╝██║██╔═══██╗ ██║ ███████╗██║██║ ██║ ██║ ... Source: almost 3 years ago

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Alternatives to Amazon Machine Learning and Kasm

When comparing Amazon Machine Learning and Kasm, you can also consider the following products.