Azure Data Factory
A fully managed, serverless data integration service.
Overview
Azure Data Factory is Microsoft's cloud-based data integration service for orchestrating and automating data movement and transformation. It allows you to create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, process and transform the data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning, and publish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume.
✨ Key Features
- Code-free and code-based data transformation
- Over 90 built-in connectors
- Serverless data integration
- Visual tools for building and monitoring pipelines
- CI/CD support with Azure DevOps and GitHub
🎯 Key Differentiators
- Deep integration with the Azure ecosystem
- Hybrid data integration capabilities
- Visual, code-free interface
Unique Value: Azure Data Factory provides a scalable and cost-effective way to build and manage data pipelines in the cloud, enabling organizations to integrate data from a variety of sources.
🎯 Use Cases (4)
✅ Best For
- Orchestrating data pipelines within the Azure ecosystem
- Modernizing on-premises SSIS packages to the cloud
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Workflows that are not primarily based in the Microsoft Azure ecosystem.
🏆 Alternatives
Compared to on-premises ETL tools, Azure Data Factory is more flexible, scalable, and easier to manage.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Azure Support Plans tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: 5 low-frequency activities per month.
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