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ODBC

Amazon Redshift ODBC Driver

Read, write, and update Redshift through ODBC

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

ODBC architecture

See what you can do with Redshift ODBC Driver

Server

SQL
SQL Server Linked-Server

Connect to Redshift from SQL Server as Linked-Server. You can query Redshift from familiar Transact-SQL without need of setting up another application.

Informatica
Data Integration & ETL

Integrate Redshift 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 Redshift from any ODBC compatible tools:

Desktop

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

Your familiar tools can connect to Redshift using CData ODBC.

Redshift ODBC Connectivity Features

  • Tailor-made for connecting directly to Amazon Redshift, based on PostgreSQL 8.0.2
  • Connect to live Amazon Redshift data, for real-time data access with the Amazon Redshift ODBC Driver
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Redshift Connector.

Target Service, API

The driver provides native connectivity to Amazon Redshift data warehouse based on PostgreSQL 8.0.2. Connects directly to Redshift clusters across all AWS regions using the Redshift SQL interface.

Schema, Data Model

Models Redshift as a traditional relational database with full access to schemas, tables, views, and stored procedures. Dynamically discovers metadata including table definitions, columns, data types, and relationships.

Key Objects

Databases, Schemas, Tables, Views, Stored Procedures, User-Defined Functions, and system tables. Full access to all Redshift database objects including external tables and Spectrum data.

Operations

Full ANSI SQL-92 support with PostgreSQL compatibility. Supports all DML operations (SELECT, INSERT, UPDATE, DELETE), complex JOINs, window functions, CTEs, and Redshift-specific features. Query optimization pushes operations to Redshift for server-side processing.

Authentication

Standard database authentication with Username/Password. Connects using Server hostname/IP, Port, Database name, and credentials. Supports SSL/TLS encryption for secure connections. Compatible with IAM authentication when configured.

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Robust ODBC access to Amazon Redshift

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


Connect to Redshift—empower every team

Management & Data Consumer
IT Department
IT Pro, Infrastructure

AI-assisted development with CData CLI

Build Redshift integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Redshift 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 Redshift.

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 Redshift ODBC driver questions

Learn more about Redshift ODBC drivers for data and analytics integration

Download the Redshift ODBC Driver today!

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