You can use Azure Data Factory to create and orchestrate automated data pipelines across hybrid environments. It allows you to ingest data from over ninety built-in connectors, including cloud storage, databases, and enterprise apps. You can transform that data visually with mapping data flows or run code-centric processes without managing servers. It also lets you rehost existing SQL Server Integration Services packages in the cloud to modernize legacy data workflows while monitoring pipeline execution through visual dashboards and alert notifications.
What Azure Data Factory does
Pricing breakdown
Pricing model: Paid
Tutorials & Demos
Frequently asked
Want a tailored answer?
See whether Azure Data Factory fits your stack.
Techbible weighs Azure Data Factory against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare Azure Data Factory
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in Data Platform & Integration
All tools →Ellie.AI
Design conceptual data models and maintain business glossaries collaboratively in your browser
MotherDuck
Run fast SQL analytics in the cloud using DuckDB without managing infrastructure
Pinecone
Store and search vector embeddings at scale for retrieval-augmented generation applications
Qdrant
Store, search, and manage high-dimensional vector embeddings for machine learning applications
Acceldata
Monitor data quality, track pipeline performance, and manage enterprise workloads across hybrid environments
AdOpt
Manage website cookie banners and user consent to comply with privacy regulations
Adverity
Extract, harmonize, and deliver marketing data across hundreds of sources to your data warehouse
AGYL AI
Reconcile conflicting business records across different apps into verified data for artificial intelligence