Insights from Databricks at CData Foundations 2025

CData Foundations 2025 highlighted Databricks ecosystem priorities around real-time, federated, and agentic analytics, with speakers emphasizing that AI agents and operational decision systems need low-latency access to current enterprise data. Databricks is advancing serverless access, Delta tables, Unity Catalog, and Lakehouse Federation to support governed, cross-system data use, while CData positions its connectors, change data capture, APIs, and virtualization capabilities as tools for providing live access to SaaS platforms, databases, and other operational systems. The sessions also stressed self-service and low-code pipeline development to reduce dependence on engineering teams, handle issues such as schema drift and authentication, and enable domain users to access data more quickly. Federation and query pushdown were presented as ways to avoid unnecessary data duplication while improving experimentation, resilience, and real-time insight, with CData and Databricks together framed as supporting governed, AI-ready data pipelines and analytics workloads.

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