Azure Synapse Analytics ODBC Driver for PHP Connection

Accessing the Azure Synapse Analytics database can be fast and seamless by using the Open Database Connectivity (ODBC) solution. Providing full interoperability, the ODBC driver for Azure Synapse Analytics allows you to access live Azure Synapse Analytics data directly from PHP. It enables you to retrieve data to PHP, and review and modify these data right in this application.

Azure Synapse Analytics Key Features

Open source
Low memory leakage problem
Support for multiple table types
Platform Independent

PHP Key Features

Web development
Database abstraction layers
Server-side scripting
Frameworks and CMS integration

Native Connectivity to Azure Synapse Analytics

Direct Connection

Our data connector enables various ODBC-aware applications to establish a direct connection to Azure Synapse Analytics via TCP/IP to eliminate the need for a Azure Synapse Analytics client. A direct connection increases the speed of data transmission between PHP and Azure Synapse Analytics for real-time analytics. It streamlines the deployment process since there is no need to distribute any additional client-side software with the ODBC driver for Azure Synapse Analytics.

What are some reasons to choose Devart ODBC Driver for Azure Synapse Analytics?

Integration

ODBC Driver for Azure Synapse Analytics is compatible with PHP allowing extraction of data by executing SQL statements.

Platforms Variety

ODBC Driver for Azure Synapse Analytics can be used with 32-bit and 64-bit applications on both x32 and x64 platforms, so there is no need to additionally configure the driver, applications, or environment.

Fully Unicode-Compliant Driver

With our fully Unicode-compliant driver, you can properly retrieve and modify any data in multilingual Azure Synapse Analytics databases, regardless of their character set: Latin, Cyrillic, Hebrew, Chinese, etc., and in any language environment.

How to download, install, and configure ODBC Driver for Azure Synapse Analytics?

Windows
macOS
Linux

Step 1. Download and install the driver

Download the driver. Run the installer and follow the instructions in the wizard. Open ODBC Data Sources. In the System DSN tab, click Add. Select the needed driver and click Finish.

Step 2. Activate the driver

In the License tab of the Configuration dialog, click Input Activation Key and enter your key. Click OK.

Step 3. Configure the Data Source Name (DSN)

In the General tab of the Configuration dialog, fill in the fields with the database connection data. To test the connectivity, click Test Connection. To save the DSN, click OK.

To install and configure ODBC Driver for Azure Synapse Analytics on macOS, download first the PKG file from the Devart website. Run the downloaded file and follow the instructions in the wizard. After installing the driver, run the 64-bit or 86-bit iODBC utility, find the needed driver, and click Configure. In the dialog box that appears, specify the required connection settings and click OK. To establish a connection to the data source, click Test.

GUI installation on Ubuntu

Installation of an ODBC driver on Ubuntu is carried out from the DEB package. Download the package that matches the bitness of your operating system.

Then open the folder with the downloaded package, double-click the DEB package, and click Install.

Command-line installation on Ubuntu

Open the Terminal and install the driver by using the following command.

Installation on CentOS

If you use CentOC, you need to download the RPM package of the corresponding bitness.

After that, open the Konsole and navigate to the folder with the downloaded package specifying the path to the folder as a parameter of the cd command. Then, install the driver by using the following commands.

To install the devartodbcsqlsynapse_i386.deb on a 32-bit system, use:

use sudo dpkg -i devartodbcsqlsynapse_i386.deb

To install the devartodbcsqlsynapse_amd64.deb on a 64-bit system, use:

sudo dpkg -i devartodbcsqlsynapse_amd64.deb

For more detailed information about installing and configuring ODBC Driver for Azure Synapse Analytics on Ubuntu, go to the documentation.

cd ~/Downloads/

To install the devart-odbc-sqlsynapse.i386.rpm on a 32-bit system, use:

sudo -rpm -ivh devart-odbc-sqlsynapse.i386.rpm

To install the devart-odbc-sqlsynapse.x86_64.rpm on a 64-bit system, use:

sudo rpm -ivh devart-odbc-sqlsynapse.x86_64.rpm

For more detailed information about installing and configuring ODBC Driver for Azure Synapse Analytics on Centos, go to the documentation.

Connecting to Azure Synapse Analytics databases from PHP

Below is a PHP connection string and a code sample and that show you how to connect to a database using the standard PHP functions. Adhering to standardized SQL will prove useful if you decide to use a different databases for your PHP app in the future, e.g. migrate from MySQL to PostgreSQL or MS SQL.

These functions also work for accessing data in cloud applications from PHP, such as Mailchimp, Salesforce, Dynamics 365, BigCommerce, or QuickBooks Online.

Need to connect PHP to a database? ODBC is an API that allows you to connect to a data source, such as PostgreSQL, Oracle, MySQL, MongoDB or SQL Server, using standard PHP functions and Devart ODBC Drivers. You can use PHP with databases via a connector to deliver HTML to a web browser that requests a resource.

To connect to a database and retrieve data using the PHP progamming language, you only need a few functions:

odbc_exec() function to execute an SQL statement;
odbc_fetch_row() function to return records from the result set;
odbc_result() function to read fields from a record;
finally, odbc_close() function is used to close an ODBC connection.

ODBC database connection in PHP with
odbc_connect() function

01.The PHP odbc_connect() function is used to connect to an ODBC data source.

\n$user = "myusername";
$password = "mypassword";
$ODBCConnection = odbc_connect("DRIVER={Devart ODBC Driver for SQLite};Direct=True;Database=mydatabase", $user, $password);

02.The odbc_exec() function is used to execute an SQL statement.

\n$SQLQuery = "SELECT * FROM autotest.dept";
$RecordSet = odbc_exec($ODBCConnection, $SQLQuery);

03.The odbc_fetch_row() function is used to return records from the result set.

\nwhile (odbc_fetch_row($RecordSet)) {
    $result = odbc_result_all($RecordSet, "border=1");
}
odbc_close($ODBCConnection);

Advantages of Connectivity to Azure Synapse Analytics from PHP via ODBC Driver

Secure Connection

Every operation with Azure Synapse Analytics becomes significantly faster using such capabilities of our driver as local data caching, connection pooling, and much more.

Working with PHP using Multiple Functions

Using PHP, you can create tables, add data, select, delete, sort, edit, combine data from several database tables, and find unique values quickly and easily.

ODBC Conformance

The driver fully supports the ODBC interface, its data types, and functions. It offers advanced connection string parameters and allows any ODBC-compliant desktop or web application to connect to Azure Synapse Analytics from PHP on various platforms.

Simple SQL Querying on PHP Files

PHP processes SQL through its SQL dialect. Using ODBC connection, it is simple to execute different SQL queries to retrieve entire tables or specific columns from Excel, filter data, formate data, numbers, etc.

Cost-Effective Deployment

Installing the driver is easy with the standalone installation file. There is no need in deploying and configuring any additional software which results in a reduction in deployment costs.

Sharing Your Data with PHP

You can share your data with other users in PHP quickly and easily. Upload your PHP data to the SharePoint lists so that it can be available for you and others to use to create reports, data models, dashboards, etc.