CData Software launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI.
The releases give developers direct, governed access to enterprise systems, Salesforce, Snowflake, NetSuite, Microsoft 365, Workday, and hundreds of others, through the interfaces they already use: SQL, Python, the command line, and MCP.
Most enterprise AI projects stall at the data layer, not because the models are wrong, but because getting governed, reliable access to production systems requires IT involvement at every step. Connect AI is what IT deploys so developers don’t have to ask for permission each time. Business teams get AI workflows. Developers get a stable data interface. IT gets visibility and control over every query.
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“Developers have been forced to choose between moving fast and meeting the governance their company requires. That tradeoff doesn’t hold up anymore,” said Raviv Levi, Chief Product and Technology Officer at CData. “The same live, governed access that IT trusts and the business depends on should follow developers into the terminal, the Python environment, and the IDE. That’s what these releases do.”
Connect AI Developer Edition
Connect AI exposes enterprise APIs as a consistent, queryable data layer with standardized schema, read/write support, and automatic handling of authentication, rate limits, versioning, and pagination. Developers write queries. The platform handles the rest.
The free Developer Edition includes the full enterprise feature set: MCP server support, per-user authentication passthrough, query logging with user-level attribution, and a management MCP server. It works out of the box with any MCP-capable coding assistant, client, or framework, including Claude Code, Codex, Cursor, and LangChain, among others.
SOURCE: PRNewswire