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Update stream-analytics-previews.md
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articles/stream-analytics/stream-analytics-previews.md

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ms.reviewer: mamccrea
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ms.service: stream-analytics
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ms.topic: conceptual
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ms.date: 3/9/2020
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ms.date: 05/08/2020
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# Azure Stream Analytics preview features
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The following features are in public preview. You can take advantage of these features today, but don't use them in your production environment.
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### Authenticate to SQL Database output with managed identities
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Azure Stream Analytics supports [Managed Identity authentication](../active-directory/managed-identities-azure-resources/overview.md) for Azure SQL Database output sinks. Managed identities eliminate the limitations of user-based authentication methods, like the need to reauthenticate due to password changes or user token expirations that occur every 90 days. When you remove the need to manually authenticate, your Stream Analytics deployments can be fully automated.
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### Output to Azure Synapse Analytics
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Azure Stream Analytics jobs can output to a SQL pool table in [Azure Synapse Analytics](https://azure.microsoft.com/services/synapse-analytics) and can process throughput rates up to 200MB/sec. This supports the most demanding real-time analytics and hot-path data processing needs for workloads such as reporting and dashboarding.
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### Online scaling
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With online scaling, you are not required to stop your job if you need to change the SU allocation. You can increase or decrease the SU capacity of a running job without having to stop it. This builds on the customer promise of long-running mission-critical pipelines that Stream Analytics offers today. For more information, see [Configure Azure Stream Analytics Streaming Units](stream-analytics-streaming-unit-consumption.md#configure-stream-analytics-streaming-units-sus).

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