CData Connect vs. CData Connect AI vs. CData Python Connectors vs. OpenAccess SDK 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.

Build standards-based connectivity (ODBC, JDBC, ADO.NET) for underlying data that is compatible with the most popular analytical and data integration tools. Personally identifiable information that shouldn’t be seen by all users can be hidden or exposed only on a need-to-know basis. OpenAccess SDK is a tool developer can use to handle 99% of the code required to produce a standards-based driver with SQL support. OpenAccess SDK lets you quickly create a standards-based, ASNI-SQL compliant ODBC, JDBC, or ADO.NET driver for your unique requirements without the domain expertise and heavy lift of full code development. Quickly generate a custom driver using our prebuilt addons or develop directly against SDK interfaces. Provides the fastest way to make your application compatible with data-centric tools, such as BI and analytics, ETL, and more. Enables implementation of a single interface for data access from all standards-based APIs.