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title description ms.reviewer ms.author author ms.topic ms.custom ms.date ms.search.form
Connector overview
Learn about data connectors.
DougKlopfenstein
jianleishen
jianleishen
overview
build-2023
ignite-2023
ignite-2023-fabric
11/15/2023
product-data-factory

Connector overview

Data Factory in [!INCLUDE product-name] offers a rich set of connectors that allow you to connect to different types of data stores. You can take advantage of those connectors to transform data in dataflows or move a PB-level of dataset with high-scale in a data pipeline.

Prerequisites

Before you can set up a connection in Dataflow Gen2 or a data pipeline, the following prerequisites are required:

Supported data connectors in dataflows

Dataflow Gen2 provide data ingestion and transformation capabilities over a wide range of data sources. These data sources include various types of files, databases, online, cloud, and on-premises data sources. There are greater than 145 different data connectors, which are accessible from the dataflows authoring experience within the get data experience.

:::image type="content" source="media/connector-overview/choose-data-source.png" alt-text="Screenshot of the Choose data source screen." lightbox="media/connector-overview/choose-data-source.png":::

For a comprehensive list of all currently supported data connectors, go to Dataflow Gen2 connectors in Microsoft Fabric.

The following connectors are currently available for output destinations in Dataflow Gen2:

  • Azure Data Explorer
  • Azure SQL
  • Data Warehouse
  • Lakehouse

Supported data stores in data pipeline

Data Factory in [!INCLUDE product-name] supports data stores in a data pipeline through the Copy, Lookup, Get Metadata, Delete, Script, and Stored Procedure activities. For a list of all currently supported data connectors, go to Data pipeline connectors in Microsoft Fabric.

Note

Currently, a pipeline on managed VNet and on-premises data access with a gateway aren't supported in Data Factory for Microsoft Fabric.

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