About Azure Data Factory
Azure Data Factory is Microsoft's cloud data integration service. It lets teams build pipelines that copy, transform and orchestrate data between many sources and destinations, spanning cloud services and on-premises systems, and Microsoft promotes it as usable without hand-writing code.
Pipelines are assembled visually from activities, scheduled or triggered by events, and monitored from the Azure portal. Typical work includes loading data into analytics stores, running transformation steps and coordinating other Azure services. The same capabilities now appear inside Microsoft Fabric as Fabric Data Factory, which sits next to Azure's wider data and analytics portfolio.
Azure Data Factory is a proprietary managed service that runs in Azure rather than on your own servers. It is billed under Microsoft's Azure pricing, with current rates published on the Azure pricing pages.
Key features
- Visual pipeline authoring without code
- Hybrid integration of cloud and on-premises data
- Scheduling and event-based triggers
- Pipeline monitoring in the Azure portal
- Orchestration of other Azure services
Good fit for
- →Loading data into Azure analytics stores
- →Orchestrating nightly data refresh jobs
- →Migrating on-premises ETL to the cloud
- Tags
- azure
- etl
- elt
- data-integration
- orchestration
- no-code
- hybrid
- cloud-service
Azure Data Factory: questions and answers
- What is Azure Data Factory used for?
- Azure Data Factory is a Microsoft Azure's managed hybrid data integration service for building ETL and ELT pipelines at enterprise scale, with or without writing code. It is a good fit for loading data into Azure analytics stores, orchestrating nightly data refresh jobs and migrating on-premises ETL to the cloud.
- How much does Azure Data Factory cost?
- Azure Data Factory is a paid product with no free plan.
- Is Azure Data Factory open source?
- No. Azure Data Factory is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Azure Data Factory include Airbyte, Mage AI and Duckle.
- What are some alternatives to Azure Data Factory?
- Azure Data Factory competes with AWS Glue, Informatica and Fivetran. For open-source options, see Enlisted's ranked list of open-source Azure Data Factory alternatives.
Open-source alternatives to Azure Data Factory
See all
Airbyte
Data Pipelines & ETL
Airbyte is the open-source data movement platform. Run ELT pipelines across 700+ connector
OSSvs Fivetran★ 22k
Mage AI
Data Pipelines & ETL
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Apache-2.0vs Fivetran★ 8.8k
Duckle
Data Pipelines & ETL
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-
Apache-2.0vs SnapLogic★ 1.3k
Airflow
Data Pipelines & ETL
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache-2.0vs Astronomer★ 47k
Kestra
Data Pipelines & ETL
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Apache-2.0vs AWS Step Functions★ 29k
Dagster
Data Pipelines & ETL
An orchestration platform for the development, production, and observation of data assets.
Apache-2.0vs Astronomer★ 16k
SaaS alternatives to Azure Data Factory
See all
AWS Glue
Data Pipelines & ETL
Serverless data integration service on AWS for ETL jobs and data catalogs
SaaS
Informatica
Data Pipelines & ETL
Enterprise data integration, quality and governance platform
SaaS
Fivetran
Data Pipelines & ETL
Managed data pipeline service that syncs SaaS and database sources to warehouses
SaaS
Matillion
Data Pipelines & ETL
Cloud data integration and transformation platform for loading data into warehouses
SaaS
Talend
Data Pipelines & ETL
Data integration, quality and governance platform now part of Qlik
SaaS
Google Cloud Dataflow
Data Pipelines & ETL
Managed stream and batch data processing service on Google Cloud based on Apache Beam
SaaS

