New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
Confluent Blog
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
Meeting Data (and Analytics) Engineers Where They Are: Introducing the dbt Adapter for Confluent Cloud
The dbt-confluent adapter brings dbt's familiar development workflow to Confluent Cloud for Apache Flink, enabling data engineers to build, test, and deploy streaming SQL pipelines with the tools they already know.
Build Compliant AI Agents With Stateful Stream Processing
EU AI Act obligations for high-risk systems hit in August 2026. Stateless agent frameworks can't satisfy them. This guide covers seven types of state compliant agents must maintain, four streaming patterns for auditability, and a reference architecture using Kafka and Flink as the control plane.
Build vs Buy Streaming for Real-Time RAG: 2026 Guide
Production RAG isn't an API problem. It's a streaming systems problem. This guide breaks down the real TCO of building your own CDC, processing, and embedding infrastructure vs. buying a managed platform, with a decision matrix for custom build, MSK, Redpanda, and Confluent.
Customer Intelligence Hub: A Single Pane of Glass for Customer Insight and Action
Customer Intelligence Hub unifies customer signals into a real-time, AI-powered view that helps GTM teams prioritize risk, identify opportunity, and act faster with contextual insights.
Proven: Up to 73% Fewer Brokers With Confluent Private Cloud – and More
Confluent Private Cloud matches Kafka performance with up to 73% fewer brokers. Benchmarks prove massive TCO savings, while Centralized Policy Enforcement streamlines data governance and broker-native multi-tenancy provides the isolation needed to end "noisy neighbor" issues for good.