CData Connect vs. CData Connect AI vs. CData Python Connectors vs. UNISTAT Comparison Chart

CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports.

Best-practice statistical data analysis in Microsoft Excel is difficult with existing add-ins and other software tools. UNISTAT is different, adding the power and accuracy of a full-featured statistical package to your existing analysis and visualization workflow. Using UNISTAT as Excel addin is easy. All you need to do is select a block of data and then select a procedure from the UNISTAT menus. UNISTAT’s procedure dialogues are intuitive to use and you will not feel as if you are dealing with another program. Using UNISTAT as Excel addin is easy. All you need to do is select a block of data and then select a procedure from the UNISTAT menus. UNISTAT’s procedure dialogues are intuitive to use and you will not feel as if you are dealing with another program.