Amazon Mechanical Turk vs Google Cloud Dataflow: 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, Google Cloud Dataflow is detailed as "A fully-managed cloud service and programming model for batch and streaming big data processing". Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
Amazon Mechanical Turk and Google Cloud Dataflow are primarily classified as "Crowdsourced Labor" and "Real-time Data Processing" 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, Google Cloud Dataflow provides the following key features:
- Fully managed
- Combines batch and streaming with a single API
- High performance with automatic workload rebalancing Open source SDK