Microsoft ODBC Driver 17 for SQL Server

Microsoft ODBC Driver 17 for SQL Server:

Microsoft ODBC Driver 17 for SQL Server is a single dynamic-link library that enables applications to use native-code APIs. So, it is compatible with Windows, Mac OS, and Linux. It can be installed silently from the command line.

ODBC converts commands that are defined in the application to queries that are understood by the database. This helps in retrieving data faster.

Easy to install the latest Microsoft ODBC Driver 17 for SQL Server:

The Microsoft ODBC Driver 17 for SQL Server is easy to install and provides support for multiple database types. So, it supports 32- and 64-bit operating systems and can be installed silently. It also supports a variety of configurations, such as enabling encryption.

So, if your application needs to connect to a database that is mirrored, you can use the ODBC Driver 17 for SQL Server to automatically redirect connections in the event of a failover. The ODBC driver will attempt to connect to the initial principal server and database, then switch to a failover partner. This feature will reduce the number of reconnection attempts and improve performance.

The ODBC Driver 17 for SQL Server can be used with Windows, Linux, and Mac OS, and is compatible with VMs. It is a single dynamic-link library that supports native-code APIs and can be installed silently. So, it is a great option for developers and system administrators who want to create custom data sources.

Compatible with multiple database types:

Microsoft ODBC Driver 17 for SQL Server is compatible with Power BI Gateway, allowing you to connect to your data from anywhere. The ODBC driver uses SQL, or Structured Query Language, to communicate with the database. This language will enable you to manipulate the data stored in the database, including insertions, deletions, and updates.

So, the ODBC driver offers advanced features to ensure high-performing, secure, and reliable connectivity for SQL applications. These features include encryption of data at rest and in transit. This helps to protect customer-sensitive data elements. Additionally, it supports industry-standard Kerberos and NTLM for authentication.

You can download the ODBC driver from Microsoft. Then, install it on the gateway machine. Next, create a new data source in Power BI. Click the System DSN tab. Select Simba OCI Spark ODBC Driver from the list of drivers. In the Create New Data Source dialog box, change the Host Name to the hostname of the SQL Endpoint.

Supports native-code APIs:

The Microsoft ODBC Driver 17 for SQL Server is a single dynamic-link library that supports native-code APIs. It makes an application independent of the underlying database by enabling it to communicate with a standard interface. So, it is available for Windows, Linux, UNIX, and HP-UX. It is easy to install and can be silently installed.

ODBC, or Open Database Connectivity, is a standard for communicating with relational databases. It provides a set of error codes, types, and functions that help developers create applications that can access multiple data sources. It also supports a variety of database platforms and operating systems.

The new version of the ODBC Driver supports encryption at rest and in transit, which helps reduce the risk of security breaches. It also improves performance by reducing the number of read-write calls to the database. It is now easier to load large amounts of data into the database with the Bulk Load feature. So, it also allows you to connect to the database from multiple subnets in an Availability Group.

Compatible with Power BI Gateway:

The Microsoft ODBC Driver 17 for SQL Server is compatible with Power BI Gateway and other Power BI tools. This ODBC driver is available for Windows, Mac, and Linux. You can download it from the Microsoft website or install it silently using a command line. It can also be installed on a VM.

To connect to your ODBC data source, open Power BI Desktop and select Get Data from the Home ribbon. In the From ODBC window, select your DSN and enter a query. Then, click Import. If you want to filter, transform, and shape your data before importing it, click Transform Data.

Depending on the size of your database, you might run out of memory before the query is completed. To avoid this issue, use a smaller database or set a limit for the number of rows that can be imported. Alternatively, you can set up a cache to store the data in memory.