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@@ -18,13 +18,13 @@ Multi-model databases enable you to store and work with data represented in mult
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## When to use multi-model capabilities
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[Azure SQL family of services](../azure-sql-iaas-vs-paas-what-is-overview.md) are designed to work with the relational model that provides the best performance in the most of the cases for a variety of general-purpose applications. However, the Azure SQL family of services are not limited to relational-data only. The Azure SQL family of services enable you to use a variety of non-relational formats that are tightly integrated into the relational model.
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[Azure SQL family of services](azure-sql-iaas-vs-paas-what-is-overview.md) are designed to work with the relational model that provides the best performance in the most of the cases for a variety of general-purpose applications. However, the Azure SQL family of services are not limited to relational-data only. The Azure SQL family of services enable you to use a variety of non-relational formats that are tightly integrated into the relational model.
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You should consider using multi-model capabilities of the Azure SQL family of services in the following cases:
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- You have some information or structures that are better fit for NoSQL models and you don't want to use separate NoSQL database.
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- A majority of your data is suitable for relational model, and you need to model some parts of your data in NoSQL style.
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- You want to leverage rich Transact-SQL language to query and analyze both relational and NoSQL data, and integrate it with a variety of tools and applications that can use SQL language.
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- You want to apply database features such as [in-memory technologies](../in-memory-oltp-overview.md) to improve performance of your analytic or processing of your NoSQL data structures, use [transactional replication](../managed-instance/replication-transactional-overview.md) or [readable replicas](read-scale-out.md) to create copy of your data on the other place and offload some analytic workloads from the primary database.
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- You want to apply database features such as [in-memory technologies](in-memory-oltp-overview.md) to improve performance of your analytic or processing of your NoSQL data structures, use [transactional replication](managed-instance/replication-transactional-overview.md) or [readable replicas](../database/read-scale-out.md) to create copy of your data on the other place and offload some analytic workloads from the primary database.
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## Overview
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If you have JSON text, you can extract data from JSON or verify that JSON is properly formatted by using the built-in functions [JSON_VALUE](/sql/t-sql/functions/json-value-transact-sql), [JSON_QUERY](/sql/t-sql/functions/json-query-transact-sql), and [ISJSON](/sql/t-sql/functions/isjson-transact-sql). The [JSON_MODIFY](/sql/t-sql/functions/json-modify-transact-sql) function lets you update value inside JSON text. For more advanced querying and analysis, [OPENJSON](/sql/t-sql/functions/openjson-transact-sql) function can transform an array of JSON objects into a set of rows. Any SQL query can be executed on the returned result set. Finally, there is a [FOR JSON](/sql/relational-databases/json/format-query-results-as-json-with-for-json-sql-server) clause that lets you format data stored in your relational tables as JSON text.
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For more information, see [How to work with JSON data](json-features.md).
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For more information, see [How to work with JSON data](../json-features.md).
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[JSON](/sql/relational-databases/json/json-data-sql-server) is a core SQL Server database engine feature.
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