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---
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title: What is Azure Data Share?
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description: Learn about sharing data simply and securely to multiple customers and partners using Azure Data Share.
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author: sidontha
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ms.author: sidontha
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author: chvukosw
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ms.author: chvukosw
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ms.service: azure-data-share
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ms.topic: overview
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ms.date: 02/12/2025
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ms.date: 01/09/2026
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ms.custom: references_regions
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---
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In today's world, data is viewed as a key strategic asset that many organizations need to simply and securely share with their customers and partners. There are many ways that customers do this today, including through FTP, e-mail, APIs to name a few. Organizations can easily lose track of who they've shared their data with. Sharing data through FTP or through standing up their own API infrastructure is often expensive to provision and administer. There's management overhead associated with using these methods of sharing on a large scale. In addition to accountability, many organizations would like to be able to control, manage, and monitor all of their data sharing in a simple way that stays up to date, so they can derive timely insights.
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Using Data Share, a data provider can share data and manage their shares all in one place. They can stay in control of how their data is handled by specifying terms of use for their data share. The data consumer must accept these terms before being able to receive the data. Data providers can specify the frequency at which their data consumers receive updates. Access to new updates can be revoked at any time by the data provider.
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To use Data Share, a data provider can share data and manage their shares all in one place. They can stay in control of how their data is handled by specifying terms of use for their data share. The data consumer must accept these terms before being able to receive the data. Data providers can specify the frequency at which their data consumers receive updates. Access to new updates can be revoked at any time by the data provider.
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Azure Data Share helps enhance insights by making it easy to combine data from third parties to enrich analytics and AI scenarios. Easily use the power of Azure analytics tools to prepare, process, and analyze data shared with Azure Data Share.
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Azure Data Share can also be used to establish a data marketplace for a specific industry. For example, a government or a research institution that regularly shares anonymized data about population growth with third parties.
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Another use case for Azure Data Share is establishing a data consortium. For example, many different research institutions can share data with a single trusted body. Data is analyzed, aggregated or processed using Azure analytics tools and then shared with interested parties.
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Another use case for Azure Data Share is establishing a data consortium. For example, many different research institutions can share data with a single trusted body. Data is analyzed, aggregated, or processed using Azure analytics tools and then shared with interested parties.
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## How it works
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Data providers can offer their data consumers incremental updates to the data shared with them through a snapshot schedule. Snapshot schedules are offered on an hourly or a daily basis. When a data consumer accepts and configures their data share, they can subscribe to a snapshot schedule. This is beneficial in scenarios where the shared data is updated regularly, and the data consumer needs the most up-to-date data.
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When a data consumer accepts a data share, they're able to receive the data in a data store of their choice. For example, if the data provider shares data using Azure Blob Storage, the data consumer can receive this data in Azure Data Lake Store. Similarly, if the data provider shares data from an Azure Synapse Analytics, the data consumer can choose whether they want to receive the data into an Azure Data Lake Store, an Azure SQL Database or an Azure Synapse Analytics. If sharing from SQL-based sources, the data consumer can also choose whether they receive data in parquet or csv.
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When a data consumer accepts a data share, they're able to receive the data in a data store of their choice. For example, if the data provider shares data using Azure Blob Storage, the data consumer can receive this data in Azure Data Lake Store. Similarly, if the data provider shares data from an Azure Synapse Analytics, the data consumer can choose whether they want to receive the data into an Azure Data Lake Store, an Azure SQL Database, or an Azure Synapse Analytics. If sharing from SQL-based sources, the data consumer can also choose whether they receive data in parquet or csv.
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### In-place sharing
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For a list of Azure regions that make Azure Data Share available, refer to the [products available by region](https://azure.microsoft.com/global-infrastructure/services/?products=data-share) page and search for Azure Data Share.
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For metadata stored by Azure Data Share, in Southeast Asia (Singapore), it's stored within the region and for all other supported regions, it's stored in the geo. Azure Data Share doesn't store a copy of the shared data itself. The data is stored in the underlying data store that is being shared. For example, if a data provider stores their data in an Azure Data Lake Storage account located in West US that is where the data is stored. If they're sharing data with an Azure Storage account located in West Europe via snapshot, typically the data is transferred directly to the Azure Storage account located in West Europe.
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For metadata stored by Azure Data Share, in Southeast Asia (Singapore), it's stored within the region and for all other supported regions, it's stored in the geo. Azure Data Share doesn't store a copy of the shared data itself. The data is stored in the underlying data store that's being shared. For example, if a data provider stores their data in an Azure Data Lake Storage account located in West US that's where the data is stored. If they're sharing data with an Azure Storage account located in West Europe via snapshot, typically the data is transferred directly to the Azure Storage account located in West Europe.
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The Azure Data Share service doesn't have to be available in your region to use the service. For example, if you have data stored in an Azure Storage account located in a region where Azure Data Share isn't yet available, you can still use the service to share your data.
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