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The CSV ODBC Driver is a powerful tool that allows you to connect with live flat-file delimited data (CSV/TSV files), directly from any applications that support ODBC connectivity. Access flat-file data like you would any standard database - read, write, and update etc. through a standard ODBC Driver interface.
CSV
CSV ODBC Connectivity Features
- SQL-92 access to CSV files and CSV streams and web services
- Support for accessing remote flat files via SFTP
- Connect to live CSV/TSV Files data, for real-time data access with the CSV/TSV Files ADO.NET Provider
- Full support for data aggregation and complex JOINs in SQL queries
- Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
- Generate table schema automatically based on existing CSV/TSV Files data or manually for greater control of the content you need
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the CSV Connector.
Target Service, API
The driver provides SQL-92 access to CSV/TSV files and CSV streams/web services. It can read from local files, network paths, and URLs. Supports various delimiters and automatically detects file structure.
Schema, Data Model
Automatically generates table schema based on CSV/TSV file data with options for manual schema definition. Supports header row detection for column names. Can work with Schema.ini files for format specification. Handles dynamic typing and supports row scanning for metadata detection.
Key Objects
CSV/TSV files are exposed as tables. Each file becomes a queryable table with columns corresponding to the fields in the delimited data. Supports multiple files in a folder as separate tables.
Operations
Full SQL-92 operations including SELECT, INSERT, UPDATE, DELETE. Supports JOINs across multiple CSV files, aggregations, and filtering. Can create new CSV files and append to existing ones. Provides caching and replication capabilities for performance optimization.
Authentication
File system access control based on operating system permissions. For remote files accessed via URLs, supports standard HTTP authentication methods.
Specific feature or properties
The driver covers CSV files in local, Amazon S3, Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, Azure Data Lake Storage Gen2 SSL, Azure Files, Box, Dropbox, FTP, FTPS, Google Cloud Storage, Google Drive, HDFS, HDFS Secure, HTTP, HTTPS, IBM Object Storage Source, OneDrive, OneLake, Oracle Cloud Storage, SFTP, SharePoint REST, SharePoint SOAP.
Robust ODBC Access to CSV/TSV Files
Full-featured and consistent SQL access to any supported data source through ODBC
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Standards-Compliant ODBC
ODBC 3.8 compliant native protocol based drivers.
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Unicode, 32-bit and 64-bit support
Support 32-bit and 64-bit applications and unicode ODBC APIs.
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Cross-platform ODBC (Windows/Linux/Mac)
Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.
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Certified ODBC Compatibility*
Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.
* Please visit our knowledge base to access how-to articles. -
Embedded Remoting Capabilities
Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.
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String, Date, Numeric SQL Functions
The driver includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
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Collaborative Query Processing
Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
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Easily Customizable and Configurable
The data model exposed by our ODBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
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Enterprise-class Secure Connectivity
Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
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Replication and Caching
Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
See what you can do with CSV ODBC Driver
Server
Connect to CSV from SQL Server as Linked-Server. You can query CSV from familiar Transact-SQL without need of setting up another application.
Integrate CSV to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.
Connect CSV from any ODBC compatible tools:
Desktop
Your familiar tools can connect to CSV using CData ODBC.
- Microsoft Access
- Power Query
- DBeaver
- and more
Connect to CSV — empower every team
- Easiest way to connect to CSV
- Dashboard / Reports that connect with CSV
- Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like CSV. CData ODBC Drivers offer the fastest, easiest way to connect CSV to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.
Integrate CSV to your system:
- Custom application integration with SQL
- SQL Server Linked Server
- Informatica PowerCenter
Need to integrate your internal systems with CSV? CData ODBC Drivers let you do it easily—access CSV as a SQL Server Linked Server or connect via tools like Informatica PowerCenter using an SQL-based driver, no extra middleware required.
- Data Client of your choice
- Excel, MS Access Linked-table, PowerQuery
Still exporting and importing CSVs manually or with scripts? CData ODBC Drivers give you live access to CSV — no middleware or files needed. Use your preferred tools and stay in control of your CSV data.
Frequently Asked CSV ODBC Driver Questions
Learn more about CSV ODBC drivers for data and analytics integration
Does CSV support ODBC?
Not natively. However, CData offers an ODBC driver for CSV that allows you to connect to CSV data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:
- Accessing CSV from applications: Connect to CSV data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
- Real-time data: You can work with live CSV data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between CSV and other systems.
The CSV ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the CSV ODBC driver today to get started.
Is there an ODBC driver for CSV?
Yes, the CData ODBC driver for CSV provides universal ODBC data connectivity for CSV. The CSV ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with CSV using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.
How do I connect to CSV via ODBC?
Connectivity to CSV via ODBC is easy. First, download and install the CSV ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the CSV ODBC driver that matches the platform where you intend to use the driver.
Once the installation is complete, navigate to the ODBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to CSV via ODBC are just the beginning. The documentation also provides extensive configuration details for using the CSV ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download an ODBC driver for CSV?
All of the CData ODBC drivers, including the CSV ODBC driver are available for download online. To get started, download a fully functional free trial of the CSV ODBC driver today.
How do I install an ODBC driver for CSV?
To install the CSV driver, simply download one of the CSV ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the CSV ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the CSV ODBC driver on your system.
Is the CSV ODBC driver 32-bit or 64-bit?
The CSV ODBC driver is available in both 32-bit and 64-bit binaries. The CSV driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.
Does pyODBC work with CSV?
Absolutely. The CSV ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to CSV from PyCharm using pyODBC and the CSV ODBC driver.
However, besides ODBC support, we also provide native Python data connectivity for CSV. To learn more, check out the CSV Python Connector online.
