BigCommerce ODBC Driver for MATLAB Connection

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

BigCommerce Key Features

  • Customization and flexibility
  • Forecasting and analytics
  • Files sync and share
  • Sales automation

MATLAB Key Features

  • High-level programming language
  • Interactive environment
  • Extensive mathematical function library
  • Data visualization and graphics
Native Connectivity to BigCommerce

Direct Connection

Our data connector enables various ODBC-aware applications to establish a direct connection to BigCommerce via TCP/IP to eliminate the need for a BigCommerce client. A direct connection increases the speed of data transmission between MATLAB and BigCommerce 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 BigCommerce.

What are some reasons to choose Devart ODBC Driver for BigCommerce?

Integration

Integration

ODBC Driver for BigCommerce is compatible with MATLAB allowing extraction of data by executing SQL statements.

Platforms Variety

Platforms Variety

ODBC Driver for BigCommerce 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

Fully Unicode-Compliant Driver

With our fully Unicode-compliant driver, you can properly retrieve and modify any data in multilingual BigCommerce 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 BigCommerce?

  • Windows
  • macOS
  • Linux
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.
In the License tab of the Configuration dialog, click Input Activation Key and enter your key. Click OK.
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.
Tools

To install and configure ODBC Driver for BigCommerce 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.

macos
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.
Open the Terminal and install the driver by using the following command.
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.
Gui installation

To install the devartodbcbigcommerce_i386.deb on a 32-bit system, use:

use sudo dpkg -i devartodbcbigcommerce_i386.deb

To install the devartodbcbigcommerce_amd64.deb on a 64-bit system, use:

sudo dpkg -i devartodbcbigcommerce_amd64.deb

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

cd ~/Downloads/

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

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

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

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

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

How to connect MATLAB to BigCommerce data source and access data in 3 steps

Icon representing the installation action

01. Install the ODBC driver and set up a Data Source Name (DSN). Then, in MATLAB, go to Apps > Database Explorer.

Database Explorer in the Apps tab in MATLAB
Icon representing the connection action

02. To create a connection to the database, click Connect and select the needed one from the list of ODBC Data Sources.

List of ODBC Data Sources under the Connect option in MATLAB
Icon representing the data retrieval action

03. To view data, select a table in the Database Browser, enter your SQL query, and click
Preview Query.

"Query retrieving data from a linked database table in MATLAB

Advantages of Connectivity to BigCommerce from MATLAB via ODBC Driver

Secure Connection

Secure Connection

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

Working with MATLAB using Multiple Functions

Working with MATLAB using Multiple Functions

Using MATLAB, 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

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 BigCommerce from MATLAB on various platforms.

Simple SQL Querying on MATLAB Files

Simple SQL Querying on MATLAB Files

MATLAB 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, format data, numbers, etc.

Cost-Effective Deployment

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 Excel

Sharing Your Data with MATLAB

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

Popular MATLAB Integrations Using ODBC Driver

  • All sources
  • Database
  • Cloud

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