Amazon Mechanical Turk vs Elasticsearch: What are the differences?

Developers describe Amazon Mechanical Turk as "Programatically access thousands of high quality, low cost, global, on-demand workers". 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. On the other hand, Elasticsearch is detailed as "Open Source, Distributed, RESTful Search Engine". Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Amazon Mechanical Turk and Elasticsearch are primarily classified as "Crowdsourced Labor" and "Search as a Service" tools respectively.

Some of the features offered by Amazon Mechanical Turk are:

• Tag objects found in an image for easier searching / advertising targeting
• Select from a set of images the best picture to represent a product
• Audit user-uploaded images for inappropriate content

On the other hand, Elasticsearch provides the following key features:

• Distributed and Highly Available Search Engine
• Multi Tenant with Multi Types
• Various set of APIs including RESTful

Elasticsearch is an open source tool with 54.6K GitHub stars and 19.7K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

Uber Technologies, Shopify, and Udemy are some of the popular companies that use Elasticsearch, whereas Amazon Mechanical Turk is used by Amazon, LinkedIn, and Hivemind. Elasticsearch has a broader approval, being mentioned in 3477 company stacks & 19446 developers stacks; compared to Amazon Mechanical Turk, which is listed in 7 company stacks and 5 developer stacks.