Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest.
No code or maintenance required to build hybrid ETL and ELT pipelines within the Data Factory visual environment
Cost-efficient and fully managed serverless cloud data integration tool that scales on demand
Azure security measures to connect to on-premises, cloud-based, and software-as-a-service apps with peace of mind
SSIS integration runtime to easily move SSIS ETL workloads into the cloud with minimal effort
Improve productivity with shorter time to market
Develop simple and comprehensive ETL and ELT processes without coding or maintenance. Ingest, move, prepare, transform, and process your data in a few clicks, and complete your data modeling within the accessible visual environment.
Transfer data using prebuilt connectors
Access the ever-expanding portfolio of more than 80 prebuilt connectors—including Azure data services, on-premises data sources, Amazon S3 and Redshift, and Google BigQuery¬—at no additional cost. Data Factory provides efficient and resilient data transfer by using the full capacity of underlying network bandwidth, delivering up to 1.5 GB/s throughput.
Integrate data cost-effectively
Integrate your data using a serverless tool with no infrastructure to manage. Take advantage of elastic capabilities to scale out as your customer base grows, and pay only for what you use.
Work the way you want
Data Factory provides a single hybrid data integration service for all skill levels. Use the visual interface or write your own code in Python, .NET, or ARM to build pipelines. Put your choice of processing services into managed data pipelines, or insert custom code as a processing step in any pipeline.