CData's Year in AI: 2025 Wrapped – From MCP Launch to Enterprise Partnerships

CData’s year-end review of its 2025 AI initiatives argues that enterprise AI effectiveness depends primarily on secure, governed, real-time access to business data rather than model capability alone. The company began by releasing downloadable Model Context Protocol servers for more than 350 data sources, gathering usage feedback that informed the September launch of Connect AI, a managed MCP platform intended to connect tools such as Claude, ChatGPT, Gemini, Microsoft Copilot, and Databricks agents with live enterprise systems. Subsequent platform enhancements focused on troubleshooting, source-specific AI instructions, governance, reliability, and reduced tool usage, while partnerships with Databricks, Microsoft, and Anthropic expanded its integration ecosystem. CData reported 191 million tool calls, 78.6 million AI queries, 850 billion rows of data processed, and no outages during 2025, with usage spanning ERP, CRM, database, and cloud warehouse sources. Its survey of more than 200 AI and data leaders found that only 6% considered their infrastructure fully AI-ready, while respondents emphasized the importance of real-time, multi-source connectivity and mature data systems. Looking toward 2026, CData plans to emphasize stronger data intelligence, governance, control, and integration capabilities for production AI deployments.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.