Summer 2025 Product Showcase: Innovating at the Edge of Agentic AI

by Billy Allocca | July 16, 2025

Summer 2025 Product Showcase recap

Accelerating agentic AI with data-driven infrastructure

The Summer 2025 CData Product Showcase delivered an exciting vision of the future: one where enterprise-grade AI agents operate seamlessly across your data ecosystem. As enterprises push toward real-world agentic AI, the message was clear: Actionable, governed, and connected data is not a nice-to-have—it's a must. 

Agentic AI represents a shift from passive, query-based interactions to proactive, tool-using agents capable of taking informed action. But making this leap requires infrastructure that can:

  • Reliably access and integrate enterprise data

  • Govern and audit agent permissions

  • Enable action through tool and API integration

CData recently introduced our Model Context Protocol (MCP) Servers as the foundational layer for secure, performant agent-data interaction, showing how this technology and our full connectivity portfolio bridge the AI readiness gap.

Missed the live event? Here are the top highlights across each product line, plus a look at what's ahead.

CData MCP Servers: Powering agentic AI with live, writable data

CData's newest innovation, MCP Servers, implements Anthropic's Model Context Protocol, enabling LLMs to securely read from and write to live enterprise systems. That means your agents aren't just analyzing—they're performing meaningful tasks.

Key highlights:

  • Live, read/write agent access across more than 270 data sources

  • SQL-like interface for LLMs, supporting structured queries and stored procedures

  • Beta access available now, with support for Anthropic’s Claude

  • Coming soon: A remote MCP Server built into CData Connect AI, bringing the power of MCP to SaaS environments

CData Sync: Agent-orchestrated ETL, open table formats, and more

CData Sync continues to evolve data movement with AI and automation in mind.

New this summer:

  • Microsoft Mirroring integration for efficient Delta replication in OneLake

  • Reverse ETL expansion to Pardot, Sage Intacct, and Salesforce Marketing Cloud

  • MCP orchestration: Use natural language prompts via LLMs to create and run jobs in Sync

  • Coming soon: Iceberg support, waterfall job dependencies, and full MCP Server support for orchestrating Sync via AI

CData Virtuality: Governing AI access to data with semantic security

CData Virtuality now enables teams to build AI-ready semantic layers with fine-grained access control.

Highlights:

  • AI-safe semantic views to expose only the necessary data to LLMs

  • Row-level and column-level security to enforce strict governance

  • Visual lineage and role-based access help admins track what data is shared and how

  • Ideal for enterprises implementing AI with compliance requirements

CData Arc: Secure, scriptable, AI-enhanced MFT and EDI

CData Arc delivers enterprise-grade automation for EDI and MFT—and it's getting smarter.

New in this release:

  • Python scripting support across flows, maps, and connectors

  • Improved REST connector with Swagger import and real-time testing

  • Peppol E-Invoicing support for EU compliance

  • Coming soon: LLM-powered mapping assistance, encryption key rotation, and custom dashboards via report builder

CData API Server: Instant RESTful access for AI and applications

CData API Server transforms any database into a secure, enterprise-ready API with just a few clicks.

Key updates:

  • Drag-and-drop API generation for hundreds of data sources

  • Security features like rate limiting, access control, and logging built in

  • Ideal for agentic AI: Combine with MCP Servers for governed access to internal data without exposing it to the internet

  • Available in community and commercial editions

Data community insights from viewers

We asked our audience during the showcase:

  • Most common data use case: ETL pipelines and API integrations topped the list

  • Biggest challenge for AI agents: Safe and governed access to enterprise data

The results reinforced what we heard in customer and analyst conversations—agentic AI will only succeed if it's built on connected, secure, and governed data infrastructure.

Watch the full showcase on demand

See every demo, announcement, and roadmap update in the full recording. Watch the Summer 2025 Showcase on demand.

Want a deeper dive? Contact us to learn how CData can support your AI or data integration strategy today.

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