Confluent Cloud Q2 2026: dbt adapter, Confluent Intelligence updates
Introduces a managed Model Context Protocol (MCP) server for Confluent Cloud, providing a scalable and highly available interface for AI agents to discover and debug Confluent resources. Also introduces Confluent Agent Skills, which encode Confluent best practices directly into AI agents to accelerate development and improve deployment quality. Enhances Flink accessibility with a dbt adapter for Confluent Cloud, enabling data engineers to define, test, and deploy streaming pipelines using dbt workflows. Introduces Materialized Tables for simplified Flink pipeline evolution with automated offset management and job orchestration. Adds Process Table Functions (PTFs) for custom, stateful stream processing logic in Java. Enables external connectivity for user-defined functions (UDFs) to interact with external APIs and services. Announces General Availability for Snapshot Queries, unifying batch and streaming workloads by enabling point-in-time SQL queries on historical and real-time data.
More from the Real-time Enterprise RAG trail
- Building an Agentic SOC on a Stream
- Hemut: Building the Internet of Freight on Real-Time Data
- New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
- Customer Intelligence Hub for Real-Time GTM Insights
- RAG and GenAI for Customer 360 Architecture