CData Connect AI

CData Connect AI

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Introduction
CData provides a governed data layer with connectivity, context, and control to connect AI agents and apps to hundreds of enterprise data sources.
Listed on
September 29, 2026

What is CData Connect AI?

CData Software is a data connectivity and integration platform that serves as the data layer behind AI and analytics. It offers live access and replication across hundreds of sources, semantic intelligence for context-aware responses, and built-in governance for AI-to-data interactions. The platform spans data access drivers, data movement tools, and a managed MCP platform for AI agents.

How to use CData Connect AI?

  • 1. Explore the platform and choose a solution such as Connect AI, Sync, Arc, or connectivity drivers. 2. Connect your enterprise data sources through the governed endpoint or install the relevant drivers/connectors. 3. Configure access policies, identity, and semantic context for your AI agents or applications. 4. Use the SDK, CLI, or MCP server to build agents, copilots, and data-connected apps. 5. Refer to the developer center, docs, and knowledge base for setup and support.

Core features of CData Connect AI

  • Universal connectivity to hundreds of data sources (Snowflake, Databricks, Salesforce, Workday, BigQuery, and more)
  • Managed MCP platform for AI agent connectivity
  • Context control plane with semantic context and governance
  • Identity, access, and security controls for AI-to-data interactions
  • ODBC, JDBC, ADO.NET, Python, and SSIS connectors
  • Data integration via CData Sync, Arc, and DBAmp
  • Embed SDK & CLI for software providers
  • Token optimization and cost control for AI workloads

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