CData Unveils New Tools for AI Development with Connect AI Suite

CData Launches Connect AI Developer Edition, Python SDK, and CLI

On June 23, 2026, CData Software, a leader in data connectivity for enterprise AI, announced the launch of three innovative tools designed specifically for developers working on AI applications. These tools are the Connect AI Developer Edition, an open-source Python SDK, and a Command Line Interface (CLI), all aimed at simplifying developers' access to enterprise data.

Empowering AI Application Development

CData's new offerings are built to provide developers with direct and governed access to various enterprise systems, such as Salesforce, Snowflake, NetSuite, Microsoft 365, Workday, and many other platforms through familiar interfaces, including SQL, Python, the command line, and MCP. This direct access aims to solve a common challenge faced by AI developers: many projects stagnate due to difficulties in obtaining reliable access to essential data.

As Raviv Levi, Chief Product and Technology Officer at CData, explained, "Developers have been forced to choose between moving fast and meeting the governance their company requires. That tradeoff doesn't hold up anymore." With Connect AI, developers can bypass the cumbersome IT approval process, allowing them to focus on creating effective AI solutions.

The Features of Connect AI Developer Edition

The Connect AI Developer Edition acts as a comprehensive solution for developers, transforming enterprise APIs into a consistent data layer with a standardized schema that supports both read and write operations. The platform manages essential backend processes, such as authentication, rate limiting, versioning, and pagination, enabling developers to concentrate on writing queries rather than technical adjustments.

Moreover, this free version includes a full suite of enterprise features, including support for MCP servers, user authentication passthrough, query logging, and management tools. It is designed to work effortlessly with any MCP-compatible coding assistant, client, or framework, such as Claude Code, Codex, Cursor, and LangChain. The integration of Toolkits allows teams to configure data access to specific use cases while maintaining strict governance standards.

Streamlined Python SDK Access

The newly released Python SDK enhances development capabilities by providing DB-API-compliant access, allowing developers to seamlessly integrate governed enterprise data into existing Python workflows. This flexibility ensures that developers can maintain their coding practices without adjusting to new formats. The SDK is open-source, making it readily available for developers who want to incorporate it into their projects.

Enhancing Development Efficiency with CData CLI

In addition to the Developer Edition and Python SDK, CData has introduced a Command Line Interface (CLI) tailored for its JDBC, ODBC, Python, and ADO.NET connectors. This tool is specifically designed to increase the speed and ease of development and testing for analytics pipelines, business intelligence integrations, and ETL workflows. Built with the modern developer in mind, the CLI enables coding assistants like Claude Code and Cursor to directly scaffold connectivity, thus minimizing the need for extensive documentation.

Currently, the CLI supports JDBC, with plans for future updates to incorporate support for ADO.NET, Python, and ODBC connectors.

Conclusion

CData Software’s launch of the Connect AI suite marks a pivotal advancement in providing developers with the means to harness the power of AI through simple data access solutions. By prioritizing a seamless integration that aligns with developers' needs while ensuring IT governance, CData positions itself as an essential player in the enterprise AI landscape, enabling over 10,000 customers worldwide to maximize their AI capabilities. For those eager to explore these tools, all products are available now at cdata.com/developers.

CData is revolutionizing how developers interact with enterprise data and is committed to making AI more accurate and actionable for all users, regardless of their role in the data pipeline.