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The Desktop Edition of the driver is intended for standalone desktop applications such as MS Excel and FileMaker Pro. To use the driver with a server-based application (such as FileMaker Server or Apache), you will need a Server Edition license. See here for more information about licenses. Note: each Mac where the driver is installed counts as. Download ODBC Manager 1.0.19. 840 KB 64-bit only. Requires Mac OS 10.9 or later. Made for 64-bit ODBC drivers. Notarized and Gatekeeper compatible. Microsoft's database access files (including ODBC drivers for Excel, Access, MS SQLServer etc. ) can be installed using the redistributeable ( that mean freely downloadable) file named 'mdactyp.exe'. The Best Free Drivers app downloads for Mac: USB Audio ASIO driver ExactScan Paragon NTFS for Mac Apple Bluetooth Digidesign CoreAudio Driver HoRNDIS.
Applies to:SQL Server (all supported versions) Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics Parallel Data Warehouse
Microsoft ODBC Driver for SQL Server is a single dynamic-link library (DLL) containing run-time support for applications using native-code APIs to connect to SQL Server. Use Microsoft ODBC Driver 17 for SQL Server to create new applications or enhance existing applications that need to take advantage of newer SQL Server features.
Download for Windows
The redistributable installer for Microsoft ODBC Driver 17 for SQL Server installs the client components, which are required during run time to take advantage of newer SQL Server features. It optionally installs the header files needed to develop an application that uses the ODBC API. Starting with version 17.4.2, the installer also includes and installs the Microsoft Active Directory Authentication Library (ADAL.dll).
Version 17.6.1 is the latest general availability (GA) version. If you have a previous version of Microsoft ODBC Driver 17 for SQL Server installed, installing 17.6.1 upgrades it to 17.6.1.
Download Microsoft ODBC Driver 17 for SQL Server (x64)
Download Microsoft ODBC Driver 17 for SQL Server (x86)
Download Microsoft ODBC Driver 17 for SQL Server (x86)
Version information
- Release number: 17.6.1.1
- Released: July 31, 2020
Note
If you are accessing this page from a non-English language version, and want to see the most up-to-date content, please visit the US-English version of the site. You can download different languages from the US-English version site by selecting available languages.
Odbc Driver For Excel
Available languages
This release of Microsoft ODBC Driver for SQL Server can be installed in the following languages:
Microsoft ODBC Driver 17.6.1 for SQL Server (x64):
Chinese (Simplified) | Chinese (Traditional) | English (United States) | French | German | Italian | Japanese | Korean | Portuguese (Brazil) | Russian | Spanish
Chinese (Simplified) | Chinese (Traditional) | English (United States) | French | German | Italian | Japanese | Korean | Portuguese (Brazil) | Russian | Spanish
Microsoft ODBC Driver 17.6.1 for SQL Server (x86):
Chinese (Simplified) | Chinese (Traditional) | English (United States) | French | German | Italian | Japanese | Korean | Portuguese (Brazil) | Russian | Spanish
Chinese (Simplified) | Chinese (Traditional) | English (United States) | French | German | Italian | Japanese | Korean | Portuguese (Brazil) | Russian | Spanish
Release notes for Windows
For details about this release on Windows, see the Windows release notes.
Previous releases for Windows
To download previous releases for Windows, see previous Microsoft ODBC Driver for SQL Server releases.
Download for Linux and macOS
The Microsoft ODBC Driver for SQL Server can be downloaded and installed using package managers for Linux and macOS using the relevant installation instructions:
Install ODBC for SQL Server (Linux)
Install ODBC for SQL Server (macOS)
Install ODBC for SQL Server (Linux)
Install ODBC for SQL Server (macOS)
If you need to download the packages for offline installation, all versions are available via the below links.
Packages named
msodbcsql17-*
are the latest version. Packages named msodbcsql-*
are version 13 of the driver.Alpine
- 17.6.1.1 Alpine package (PGP Signature)
- 17.5.2.2 Alpine package (PGP Signature)
- 17.5.2.1 Alpine package (PGP Signature)
- 17.5.1.1 Alpine package (PGP Signature)
Debian
RedHat
Suse
Ubuntu
See also Installing the Linux driver.
macOS
- See the Homebrew formulae for details.
See also Installing the macOS driver.
Older Linux releases
- Red Hat Enterprise Linux 5 and 6 (64-bit) - Download Microsoft ODBC Driver 11 for SQL Server - Red Hat Linux
- SUSE Linux Enterprise 11 Service Pack 2 (64-bit) - Download Microsoft ODBC Driver 11 Preview for SQL Server - SUSE Linux
Release notes for Linux and macOS
For details about releases for Linux and macOS, see the Linux and macOS release notes.
Earlier this month, we released the new ODBC driver for the MongoDB Connector for Business Intelligence (BI Connector). This driver makes it incredibly simple to connect to MongoDB data using analytics tools such as Microsoft Excel, Qlik, Microstrategy Desktop, Tableau Desktop, and PowerBI. But before diving into specifics of the driver, it will be helpful to review some information about the BI Connector, how it functions, and what use cases it is intended to serve.
MongoDB Connector for Business Intelligence
The MongoDB BI Connector provides access to MongoDB data by abstracting rich, hierarchical document structure and presenting it as a tabular, relational schema via a MySQL interface. The BI Connector acts as a SQL proxy and converts incoming SQL queries to equivalent MongoDB Query Language (MQL). Results are then returned in a standard tabular format and can be consumed by any application that supports direct connection to MySQL.
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Of course, there are many applications -- used primarily by analysts and other business users -- which do not support direct MySQL connections and therefore, rely on ODBC to gain access to external SQL data sources. These ODBC connections are managed by underlying drivers that handle communication and the transfer of data between client applications and a defined data source.
A new ODBC driver?
Given that the BI Connector provides a MySQL interface we have been asked why not just utilize the existing MySQL, or similar, ODBC drivers? There are a few reasons for this but our primary motivation was to improve the end-user experience by making installation and set up simple and easy.
Prior to the release of our ODBC driver, setting up a connection to the BI Connector using the MySQL ODBC driver involved multiple steps, and several different software components. As a result, the process was error-prone and did not represent an ideal user experience. To address this, we bundled all components together into a simple click-through install process on both Mac OSX and Windows 7/10.
Now, within just a few seconds, users can configure their applications to access MongoDB as an available data source.
Installing the Driver and Importing MongoDB Data into Excel
Installing the ODBC driver on both Mac and Windows is quick and simple. If you are using Windows, you should install the driver that matches the architecture of your application. For example, if you are running a 32bit version of Excel, install the 32bit ODBC driver. Likewise, the 64bit version of PowerBI requires the 64bit ODBC driver. If you are running a mix of both 32bit and 64bit applications, there is no problem with installing both driver versions. On Mac OSX, the ODBC driver 64-bit.
In this post, we’ll walk through installation and setup of an ODBC connection on Windows 10 running the 32bit version of Excel.
First, download the MongoDB ODBC driver here. Make sure to download the driver that matches your version of Excel. In our case, we’ll select the 32bit version of the ODBC driver.
Once downloaded, double click the .msi file to begin.
Accept the license agreement and click through a few options. When the installation is complete, click “Finish.” Now that the driver is installed, we can set up our Data Source Name (DSN) using the MongoDB ODBC driver.
To do this, open the “ODBC Data Source Administrator (32-bit)” application.
Click “Add” to set up a new DSN. You will be presented with a list of available drivers. Select the MongoDB ODBC 1.0 Unicode Driver. We encourage all users to select the unicode driver unless there is a specific need to use the ANSI driver.
Once you click “Finish” you will be prompted to input information to connect to MongoDB via the BI Connector.
Input both a name and description for your datasource. In this example, we are connecting to an instance of BI Connector running in the MongoDB Atlas database service and will be working with data from the “nba” database. In the server and port fields, input the address and port number for the BI Connector. Add your MongoDB username and password and database. Once these values are input, click “OK.” This DSN will now be available to Excel, and other apps that support ODBC.
To import data into Excel, open a new workbook. Click on the Data tab. Now select Get Data → From Other Sources → From ODBC. Once selected you will be prompted to choose a DSN.
We will select the newly created DSN - “MongoDB Atlas - NBA” and click OK. If you are prompted to input username and password credentials, do so and click Connect. Excel will then present you with a database and table listing where you can select the data you want to import.
For this demo we’ll select historical National Basketball Association statistics. Specifically, player box score data for the past 20+ years.
Once selected, we click “Load” to return the data to Excel. After a moment we can see that Excel has loaded in just over 500k rows into our worksheet - from MongoDB. Nba 2k17 crack online.
And now that the data is in Excel, we can create Pivot Tables and Charts, or apply conditional formatting rules to perform an analysis of the data. For example, we want to find out which NBA player averaged the most minutes played per game. This is very easy to do, using a Pivot Table. Each row in our dataset represents the stats for a single player during a specific game. So, in our Pivot Table we set player names as rows, and the average of minutes as our values.
With this Pivot Table in place, we sort by average minutes and can see that Allen Iverson played the highest average minutes at 42. Lebron James, Anthony Mason, and Latrell Sprewell averaged 39 minutes followed by several players -- including Michael Jordan and Kevin Durant -- at 38 minutes.
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Conclusion
If you would like to try the new ODBC driver to perform analytics with data in MongoDB, you can sign up for a free Atlas account by visiting this page. There you can claim $100 worth of free Atlas credits and be up and running with the BI Connector and MongoDB within a few minutes.
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NOTE: The BI Connector is only available on Atlas M10 instances and above.