Azure Data Factory

What Azure Data Factory is

Azure Data Factory is a paid service available through the web. Its deployment model is hybrid, supporting workflows that use the environments covered by that model. Transformation mode is mixed, giving the service a combination of transformation approaches rather than one single mode. The listed data capabilities include incremental loading, change data capture, and custom code transforms. Incremental loading supports handling newly available data, while change data capture identifies data changes for processing. Custom code transforms provide a way to apply organization-specific transformation logic. Azure Data Factory has no free plan. The listing associates it with a company founded in 1975 and headquartered in Redmond, Washington, USA. Product information is available at https://azure.microsoft.com/en-us/products/data-factory. Teams considering the service can assess whether web access, hybrid deployment, mixed transformation, incremental loading, change data capture, and custom code transforms match their workflows. Its paid model and lack of a free plan are central planning considerations when selecting the service.

Who it suits

Azure Data Factory offers web-based access with hybrid deployment and mixed transformation. It is relevant for workflows requiring incremental loading, change data capture, or custom code transforms.

Limits

There is no free plan. Azure Data Factory uses a paid pricing model.

Getting started

1. Open the Azure Data Factory website
2. Access the service through the web
3. Set up a hybrid deployment
4. Choose the mixed transformation approach
5. Configure incremental loading or change data capture
6. Add custom code transforms where needed

Verdict

Pick Azure Data Factory when hybrid deployment and mixed transformation are priorities. Its incremental loading, change data capture, and custom code transforms cover several listed workflow needs. Look elsewhere if you require a free plan or a deployment model other than hybrid.