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ODBC

CSV ODBC Driver

Read, write, and update CSV through ODBC

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Claude
Claude
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Gemini
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CData Drivers now work with AI Coding tools

The CSV ODBC Driver is a powerful tool that allows you to connect with live data from CSV, directly from any applications that support ODBC connectivity. Access CSV data like you would a database - read, write, and update CSV data through a standard ODBC Driver interface.

ODBC architecture

See what you can do with CSV ODBC Driver

Server

SQL
SQL Server Linked-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.

Informatica
Data Integration & ETL

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.

Reporting & BI
Reporting & BI

Connect CSV from any ODBC compatible tools:

Desktop

MS Access / Excel / PowerQuery
MS Access / Excel / PowerQuery

Your familiar tools can connect to CSV using CData ODBC.

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 Python Connectors
  • 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.

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Robust ODBC access to CSV/TSV Files

Full-featured and consistent SQL access to any supported data source through ODBC


Connect to CSV—empower every team

Management & Data Consumer
IT Department
IT Pro, Infrastructure

AI-assisted development with CData CLI

Build CSV integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your CSV schema. No more guessing table names or column types—AI sees the same metadata in your ODBC Drivers.

Your AI Knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to CSV.

More Accurate, More Token-Efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI
FAQs

Frequently asked CSV ODBC driver questions

Learn more about CSV ODBC drivers for data and analytics integration

Download the CSV ODBC Driver today!

Get the latest CSV ODBC Drivers for Windows, Linux, and macOS. Install in minutes and connect your CSV data to Power BI, Tableau, and more.