CData Blog

May 27, 2026

Build CrewAI Agent Crews with Live Enterprise Data

Learn how to connect CrewAI agent crews to live enterprise data using MCP. Query Salesforce, Snowflake, and 350+ sources, no custom connectors required.

データソースごとにシングルソースMCPを個別に立てる構成と、マネージドMCPプラットフォームに集約する構成の対比

May 26, 2026

Single Source MCPs vs Managed MCP Platform: Choosing the Right Path to Enterprise Scale

by Matt Dallhoff

Exploring the decision to build AI connectivity and control with native MCPs or adopt an enterprise-ready managed MCP platform.

May 26, 2026

Your Pre-Event Guide to Snowflake Summit 2026: Who to Meet, What to See, and How to Make the Most of It

by Cameron Leblanc

Your Snowflake Summit 2026 guide: How CData closes the enterprise data access gap at booth #2738.

May 22, 2026

Solving the Data Layer Problem for Enterprise AI: Meet CData at The AI Summit London 2026

by Sue Raiber

Connect enterprise data to AI agents. Meet CData at The AI Summit London 2026, booth 313 — live demos of CData Connect AI, the managed MCP platform for hundreds of enterprise sources.

Mainframe to Cloud Data Migration Connect AI

May 20, 2026

The Definitive Guide to Choosing ETL Platforms for Mainframe Cloud Migration

by Mohammed Mohsin Turki

How to choose an ETL platform for mainframe cloud migration: CDC support, hybrid architecture, pricing models, POC testing, and cutover strategy.

May 19, 2026

The Definitive Guide to Agent-Based API Security for Enterprises

by Dibyendu Datta

A practical guide to agent-based API security: architecture, identity controls, deployment steps, and how to govern AI agent access to enterprise data.

May 19, 2026

Connect Dynamics 365 to Claude in 2026: A Complete Guide

by Somya Sharma

Learn how to connect Microsoft Dynamics 365 to Claude in 2026 with MCP, covering setup, entity mapping, security, and governance for enterprise AI.

May 19, 2026

Solving the Data Layer Problem for AI Product Teams: Meet CData at ProductCon New York 2026

by Stanley Liu

ttending ProductCon New York 2026? Learn why AI-native product teams, SaaS leaders, and enterprise builders are meeting with CData to solve embedded integrations, MCP connectivity, and enterprise AI data access challenges.

May 19, 2026

10 Leading ETL Tools with CDC for SQL Server and Oracle

by Cameron Leblanc

Compare 10 CDC-enabled ETL tools for SQL Server and Oracle, covering deployment options, latency, and cost across enterprise and cloud-native platforms.

May 15, 2026

Step-by-Step Guide to Connect Shopify with Claude in 2026

by Dibyendu Datta

Learn how to connect Shopify to Claude using MCP in 2026. Set up the AI Toolkit, run live store operations, and govern AI access with CData Connect AI.

May 14, 2026

MCP Gateway vs Consolidated MCP Platform: Feature-by-Feature Comparison

by Somya Sharma

Compare MCP gateways and consolidated MCP platforms feature by feature to find the right enterprise AI integration architecture for security and scale.

May 13, 2026

SAP’s API Policy Is a Warning Shot. Is Your AI Strategy Ready?

by Jerod Johnson

SAP’s 2026 API policy restricts third-party AI agent access. Learn what it means, how to audit your integrations, and how to keep your AI options open.

Per page: Showing 97-108 of 988

CData is the data layer that makes AI work in production—live connectivity and replication across hundreds of the most critical enterprise sources, semantic context, and built-in governance. Powering AI for Databricks, Microsoft, Google, Palantir, and 10,000+ customers worldwide.