The Azure Table ODBC Driver is a powerful tool that allows you to connect with live Azure Table data, directly from any applications that support ODBC connectivity. Access Azure Table Storage like you would a database - read, write, and update data through a standard ODBC Driver interface. Deploy an Azure SQL database is a very easy task and you don’t have to worry about the hardware, deployment issues around applications. You can deploy the SQL DB in a few minutes and start using it by using this you will save a lot of time and cost to hardware. Download the ODBC Driver to the Machine you want to access the SQL Database. Azure ODBC Driver Read, Write, and Update Azure Tables through ODBC. The Azure Table ODBC Driver is a powerful tool that allows you to connect with live Azure Table data, directly from any applications that support ODBC connectivity. For example, you could have a SQL Server Native Client driver installed along with the legacy SQL Server driver and the newer stand-alone drivers, like ODBC Driver 17 for SQL Server. Each are listed separately for selection in the ODBC DSN Administrator. For Azure SQL Database, it's best to use the latest ODBC driver. Devart ODBC Driver for SQL Azure provides a high-performance and feature-rich connectivity solution for ODBC-based applications to access SQL Azure databases from Windows, macOS, Linux, both 32-bit and 64-bit.
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Odbc Driver Microsoft
Azure CosmosDB provides ODBC driver that enables you to query CosmosDB collections like classic databases. In this post you will see how to query CosmosDB collections from Sql Server using Transact-Sql.
Why querying CosmosDB from SQL Server? Cosmos DB enables you to store documents and other non-relational types of data and provides SQL/API that enables you to fetch, filter, and sort results. However, in some cases, you would need to run more complex queries that have GROUP BY, HAVING, analytical functions, or to join your non-relational data from CosmosDB with data that you are storing in SQL Server tables. In that case, you might want to leverage full power of TransactSQL to query data in Cosmos DB.
Cosmos DB setup
First you need to setup CosmosDB account and add some documents to your collections. I have created CosmosDB account called odbc, with database WWI and collection Orders, and added three documents:
I’m accessing this collection using SQL API.
Driver setup
Now you need to install ODBC Driver for CosmosDB on the computer where you have SQL Server installed. I’m using Microsoft Azure Cosmos DB ODBC 64-bit.msifor 64-bit Windows – 64-bit versions of Windows 8.1 or later, Windows 8, Windows 7, Windows Server 2012 R2, Windows Server 2012, and Windows Server 2008 R2.
Microsoft Odbc Driver Azure
Once you install this driver, you should setup ODBC source in system DSN and test the connection:
Querying CosmosDB
Once you setup everything, you can use classic OPENROWSET function to query CosmosDB data by specifying CosmosDB DSN in the connection:
As a results you will get three rows representing three documents in CosmosDB. Missing fields will be returned as NULL. You can also filter results based on some criterion like:
One interesting thing that you need to be aware is that complex JSON objects such as shipTo or billTo from the first image are flattened and every field is returned in the format <object name>_<field name>. You should be aware of this if you expected to have sub-objects as-is. Also, in my case, array properties such as tags are not mapped/returned.
Conclusion
ODBC Driver for Cosmos DB is enables you to run Transact-SQL queries on CosmosDb data, which might be useful if you need rich data analytic on remote data stored in CosmosDB. In this case, you can send query to CosmosDB with predicate that will filter the results, select only the fields that you need and then do rich-analysis on SQL Server using full Transact-SQL language.
Azure Odbc Connection String
Note that this is possible only on SQL Server and not in Azure SQL Database because CosmosDb driver is not installed on Azure SQL and you cannot add your own drivers. If you are interested for this feature on Azure SQL you can send the idea on feedback for SQL Database or SQL Managed Instance.
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