Amazon Mechanical Turk vs Azure Machine Learning

Need advice about which tool to choose?Ask the StackShare community!

Amazon Mechanical Turk

+ 1
Azure Machine Learning

+ 1
Add tool

Amazon Mechanical Turk vs Azure Machine Learning: What are the differences?

Key Differences between Amazon Mechanical Turk and Azure Machine Learning

  1. Pricing Model: Amazon Mechanical Turk (MTurk) has a pay-as-you-go pricing model, where requesters pay only for the tasks completed by workers. On the other hand, Azure Machine Learning (AML) offers pricing options based on compute resources utilized and provides various pricing tiers suited for different needs.

  2. Task Complexity: MTurk offers a platform for completing simple tasks, often referred to as Human Intelligence Tasks (HITs), that require human judgment and cannot be easily automated. In contrast, AML focuses more on machine learning and AI capabilities, enabling the development and deployment of advanced models for complex tasks such as image recognition, natural language processing, and data analysis.

  3. Data Privacy and Security: MTurk provides minimal data privacy and security features, as the platform primarily focuses on handling simple tasks without significant data sensitivity. Conversely, AML implements robust security measures, including data encryption, access controls, and compliance certifications, to safeguard sensitive data utilized in advanced machine learning scenarios.

  4. Community Size and Diversity: MTurk boasts a large and diverse community of workers from various backgrounds and countries, enabling requesters to access a broad pool of human resources. AML, being a part of the larger Azure ecosystem, leverages a vast community of developers, data scientists, and AI researchers, providing a different pool of expertise for machine learning projects.

  5. Integration and Scalability: MTurk provides straightforward integration options with external systems and applications, allowing requesters to integrate crowdsourcing tasks seamlessly. AML, being a comprehensive machine learning platform, offers extensive integration capabilities with various Azure services, allowing scalability and integration of models across the Azure ecosystem.

  6. Automation Possibilities: MTurk primarily relies on human workers to complete tasks, limiting the scope for automation. In contrast, AML focuses heavily on automation, providing capabilities for automating machine learning workflows, model training, deployment, and monitoring, enabling efficient and scalable machine learning operations.

In summary, Amazon Mechanical Turk is focused on simple human intelligence tasks and offers a pay-as-you-go pricing model, while Azure Machine Learning provides a comprehensive platform for complex machine learning tasks with advanced automation, scalability, and integration capabilities.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More

What is Amazon Mechanical Turk?

Amazon Mechanical Turk is a marketplace for work that requires human intelligence. The Mechanical Turk web service enables companies to programmatically access this marketplace and a diverse, on-demand workforce. Developers can leverage this service to build human intelligence directly into their applications.

What is Azure Machine Learning?

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon Mechanical Turk?
What companies use Azure Machine Learning?
See which teams inside your own company are using Amazon Mechanical Turk or Azure Machine Learning.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon Mechanical Turk?
What tools integrate with Azure Machine Learning?
    No integrations found

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Amazon Mechanical Turk and Azure Machine Learning?
    CrowdFlower is the world's leading crowdsourcing service, with over 800 million tasks submitted by over four million contributors. We specialize in microtasking: distributing small, discrete tasks to many online contributors, assembly-line fashion - for instance, using people to check hundreds of thousands of photos every day for obscene content.
    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    See all alternatives