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Fix Acrolinx issues
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articles/connectors/built-in.md

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title: Built-in connector overview
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description: Learn about built-in connectors that run natively in Azure Logic Apps.
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description: Learn about connectors that run natively with the runtime in Azure Logic Apps.
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services: logic-apps
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ms.suite: integration
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ms.reviewer: estfan, azla
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ms.topic: conceptual
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ms.custom: engagement-fy23
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ms.date: 01/04/2024
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ms.date: 02/12/2024
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# Built-in connectors in Azure Logic Apps
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Built-in connectors provide ways for you to control your workflow's schedule and structure, run your own code, manage or manipulate data, and complete other tasks in your workflows. Different from managed connectors, some built-in connectors aren't tied to a specific service, system, or protocol. For example, you can start almost any workflow on a schedule by using the Recurrence trigger. Or, you can have your workflow wait until called by using the Request trigger. All built-in connectors run natively on the Azure Logic Apps runtime. Some don't require that you create a connection before you use them.
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For a smaller number of services, systems, and protocols, Azure Logic Apps provides a built-in version alongside the managed version. The number and range of built-in connectors vary based on whether you create a Consumption logic app workflow that runs in multi-tenant Azure Logic Apps or a Standard logic app workflow that runs in single-tenant Azure Logic Apps. In most cases, the built-in version provides better performance, capabilities, pricing, and so on. In a few cases, some built-in connectors are available only in one logic app workflow type and not the other.
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For a smaller number of services, systems, and protocols, Azure Logic Apps provides a built-in version alongside the managed version. The number and range of built-in connectors vary based on whether you create a Consumption logic app workflow that runs in multitenant Azure Logic Apps or a Standard logic app workflow that runs in single-tenant Azure Logic Apps. In most cases, the built-in version provides better performance, capabilities, pricing, and so on. In a few cases, some built-in connectors are available only in one logic app workflow type and not the other.
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For example, a Standard workflow can use both managed connectors and built-in connectors for Azure Blob Storage, Azure Cosmos DB, Azure Event Hubs, Azure Service Bus, DB2, FTP, MQ, SFTP, and SQL Server. A Consumption workflow doesn't have the built-in versions. A Consumption workflow can use built-in connectors for Azure API Management, Azure App Services, and Batch, while a Standard workflow doesn't have these built-in connectors.
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Also, in Standard workflows, some [built-in connectors with specific attributes are informally known as *service providers*](../logic-apps/custom-connector-overview.md#service-provider-interface-implementation). Some built-in connectors support only a single way to authenticate a connection to the underlying service. Other built-in connectors can offer a choice, such as using a connection string, Microsoft Entra ID, or a managed identity. All built-in connectors run in the same process as the Azure Logic Apps runtime. For more information, review [Single-tenant versus multi-tenant and integration service environment (ISE)](../logic-apps/single-tenant-overview-compare.md).
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Also, in Standard workflows, some [built-in connectors with specific attributes are informally known as *service providers*](../logic-apps/custom-connector-overview.md#service-provider-interface-implementation). Some built-in connectors support only a single way to authenticate a connection to the underlying service. Other built-in connectors can offer a choice, such as using a connection string, Microsoft Entra ID, or a managed identity. All built-in connectors run in the same process as the Azure Logic Apps runtime. For more information, review [Single-tenant versus multitenant and integration service environment (ISE)](../logic-apps/single-tenant-overview-compare.md).
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This article provides a general overview about built-in connectors in Consumption workflows versus Standard workflows.
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