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Azure Data Factory

Hybrid data integration at enterprise scale, made easy

Hybrid data integration simplified

Integrate all your data with Azure Data Factory—a fully managed, serverless data integration service. Visually integrate data sources with more than 90 built-in, maintenance-free connectors at no added cost. Easily construct ETL and ELT processes code-free in an intuitive environment or write your own code. Then deliver integrated data to Azure Synapse Analytics to unlock business insights.


Rehost SQL Server Integration Services (SSIS) in a few clicks and build ETL and ELT pipelines code-free, with built-in Git and CI/CD support.


Enjoy a pay-as-you-go, fully managed serverless cloud service that scales on demand.


Ingest all your on-premises, and software as a service (SaaS) data with more than 90 built-in connectors. Orchestrate and monitor at scale.


Use autonomous ETL to unlock operational efficiencies and enable citizen integrators.

Accelerate data transformation with code-free data flows

Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives.

  • Enable citizen integrators and data engineers to drive business and IT led Analytics/BI.
  • Prepare data, construct ETL and ELT processes, and orchestrate and monitor pipelines code-free. The managed Apache Spark™ service takes care of code generation and maintenance.
  • Transform faster with intelligent intent-driven mapping that automates copy activities.

Get started with code-free ETL

Rehost and extend SSIS in a few clicks

Azure Data Factory can help organizations looking to modernize SSIS.

  • Realize up to 88 percent cost savings with the Azure Hybrid Benefit.
  • Enjoy the only fully compatible service that makes it easy to move all your SSIS packages to the cloud.
  • Migration is easy with the deployment wizard and ample how-to documentation.
  • Realize your vision for hybrid big data and data warehousing initiatives by combining with Data Factory cloud data pipelines.

Five benefits of migrating SSIS to the cloud

Ingest all your data with built-in connectors

Ingesting data from diverse and multiple sources can be expensive, time consuming and require multiple solutions. Azure Data Factory offers a single, pay-as-you-go service. You can:

  • Choose from more than 90 built-in connectors to acquire data from Big Data sources like Amazon Redshift, Google BigQuery, HDFS; enterprise data warehouses like Oracle Exadata, Teradata; SaaS apps like Salesforce, Marketo, and ServiceNow; and all Azure data services.
  • Use the full capacity of underlying network bandwidth, up to 5 GB/s throughput.

Get started with more than 90 connectors now

Get the most out of Azure Synapse Analytics

Ingest data from on-premises, hybrid, and multicloud sources and transform it with powerful data flows in Azure Synapse Analytics, powered by Data Factory.

  • Integrate and transform data in the familiar Data Factory experience within Azure Synapse Pipelines
  • Transform and analyze data code-free with Data flows within the Azure Synapse studio.
  • Integrate all your data with more than 90 built-in connectors.
Get started with Azure Synapse Analytics

Ignite your app experiences with the right data

Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest.

Explore how Data Factory can help you

Orchestrate, monitor, and manage pipeline performance

Maintaining pipelines with a rapidly changing data landscape can quickly become time-consuming, involving manual interventions. In Azure Data Factory, you can not only monitor all your activity runs visually, you can also improve operational productivity by setting up alerts proactively to monitor your pipelines. These alerts can then appear within Azure alert groups, ensuring that you’re notified in time to prevent downstream or upstream problems before they happen.

Learn more

Hybrid data integration, simplified

In today’s data-driven world, big data processing is a critical task for every organization. To unlock transformational insights, data engineers need services that are built to simplify ETL as well as handle the complexities and scale challenges of big data integration.

With Azure Data Factory, it’s fast and easy to build code-free or code-centric ETL and ELT processes. In this scenario, learn how to create code-free pipelines within an intuitive visual environment.

In today’s data-driven world, big data processing is a critical task for every organization. To unlock transformational insights, data engineers need services that are built to simplify ETL as well as handle the complexities and scale challenges of big data integration. With Azure Data Factory, it’s fast and easy to build code-free or code-centric ETL and ELT processes.

Hybrid data integration, simplified

Trusted global cloud presence

  • Access Data Factory in more than 25 regions globally to ensure data compliance, efficiency, and reduced network egress costs.
  • Data Factory has been certified by HIPAA and HITECH, ISO/IEC 27001, ISO/IEC 27018, and CSA STAR.
  • Connect securely to Azure data services with managed identity and service principal. Store your credentials with Azure Key Vault.
  • Managed virtual network gives you an isolated and highly secure environment to run your data integration pipelines.

Pay only for what you need, with no upfront cost

Explore a range of cloud data integration capabilities to fit your scale, infrastructure, compatibility, performance, and budget needs. Options include managed SSIS for seamless migration of SQL Server projects to the cloud and large-scale, serverless data pipelines for integrating data of all shapes and sizes.

Trusted by companies of all sizes

Data Factory helps Adobe deliver data-rich digital experiences at scale

"We want to focus on ways to help our customers ingest data, clean it, store it at scale, and access it globally in real time. With Azure, we can rely on our own core competencies, and not have to build the underlying infrastructure."

Nik Shroff, Director of Microsoft Solutions at Adobe

Analytics firm cuts data warehouse dev time by 80 percent

With just a few clicks, customers can use Concentra’s SaaS data solutions to create an end-to-end data management process through SSIS ETL workloads in a managed SSIS environment within Data Factory, achieving high scalability and availability while reducing operational costs.


Frequently asked questions about Azure Data Factory

  • Data Factory is available in more than 25 regions.
  • We guarantee we will successfully process requests to perform operations against Data Factory resources at least 99.9 percent of the time. We also guarantee that all activity runs will initiate within four minutes of their scheduled execution times at least 99.9 percent of the time. Read the full Data Factory service-level agreement (SLA).
  • Integration runtime (IR) is the compute infrastructure Data Factory uses to provide data integration capabilities across network environments. IR moves data between the source and destination data stores by providing scalable data transfer. IR executes Data Flow authored visually in a scalable way on Spark compute runtime. IR provides the capability to natively execute SSIS packages in a managed Azure compute environment. It supports dispatching and monitoring of transformation activities running on several compute services. For more information, see integration runtime in Data Factory.

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