Create an ODBC connection in MATLAB with Devart ODBC Drivers

MATLAB, developed by MathWorks, is a high-level programming language and interactive environment designed for numerical computing, data analysis, algorithm development, and visualization. It excels in handling matrices and arrays, making it a powerful tool for engineers and scientists. MATLAB also offers extensive plotting and visualization capabilities, which are essential for interpreting data and presenting results effectively.

Connecting MATLAB to a data source using Devart ODBC Drivers allows seamless integration with various databases, enhancing data accessibility and manipulation. This connection enables complex data analysis and visualization directly within MATLAB, leveraging its robust computational capabilities.

Key features

Direct mode

Native connection to traditional databases and cloud-based services from MATLAB using an ODBC driver. No need to use client software to establish a MATLAB ODBC connection and fetch your sales figures table from databases, such as Oracle, MySQL, or PostgreSQL, and cloud services, such as Salesforce, QuickBooks, or Zoho CRM.

SQL data type mapping

Full support and mapping of data source-specific SQL data types to the standard ODBC data types. Access diverse data stores from MATLAB through a unified interface with exceptional speed. You can create custom mappings between data source fields and ODBC data types.

Secure connection

Devart ODBC Drivers use SSL/SSH and HTTPS tunneling to protect user data as it flows between a remote server and MATLAB over the internet. Tunneling allows you to send communications securely between machines.

ANSI SQL-92 standard support for cloud services

Devart ODBC Drivers address one of the major challenges of retrieving data from email marketing, CRM, accounting, and other cloud applications into MATLAB: their lack of adequate API support for SQL-92 standard SQL commands. Our drivers are designed to get the most out of cloud service APIs.

How to connect MATLAB to an ODBC data source and access data in 3 steps

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

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

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

Why pick Devart ODBC Drivers for MATLAB?

Fully Unicode-compliant ODBC drivers

Unicode is the universal standard for encoding characters in most languages. Our ODBC drivers provide a Unicode-compliant way to work with strings and characters in databases: they are capable of mapping Unicode function calls and string data types to ANSI encoding.

All major versions of data stores are supported

Our ODBC drivers can be used to interact and perform SQL CRUD operations on popular traditional databases and cloud services from MATLAB, such as MySQL, Oracle, PostgreSQL, Salesforce, or Mailchimp.

Regular feature update rollouts and timely bug fixes

Regular feature updates and timely bug fixes

We frequently release new versions of ODBC drivers with new capabilities or enhancements for already existing features. Changes and new features are added to the roadmap based on customer feedback. Bug fixes and minor improvements are released as nightly builds to resolve issues in a timely fashion.

Strict compliance with Microsoft ODBC 3.52 Specification

Our ODBC drivers provide full support for the standard Open Database Connectivity API functions and data types. ODBC interface allows MATLAB to connect to ODBC databases using the SQL language. Additionally, we have designed Advanced Connection String parameters that implement different types of behavior.

Exceptional SQL query performance and bulk updates

Our ODBC drivers allow you to perform bulk record update in MATLAB in a single update statement while maintaining decent update speed. When you need to update a table with a million records, you can use a single update operation which significantly reduces execution time compared to row-by-row operations.

Team of expert support engineers and community of developers

Contact our friendly and knowledgeable support team for assistance if you have any questions about using our ODBC drivers with MATLAB, or join our forum to discuss anything related to the database application development with other professional developers.