Introducing Streamhouse: the open data architecture for AI | Learn More
Confluent Blog
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
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.
Stream Governance: Making Compliance a Property of Data in Motion
Traditional governance tools fail to protect data in motion as companies shift to real-time streaming. Confluent’s Stream Governance suite solves this by providing specialized tracking, schema enforcement, and advanced encryption. This embeds security and compliance directly into the live data flow.
Building Secure, Resilient, and Compliant Fraud Detection With Confluent Cloud
Financial institutions must process fraud detection in real time without sacrificing security or uptime. Confluent Cloud leverages Kafka and Flink to deliver a secure, compliant, and highly resilient data streaming platform that stops fraud in-flight while meeting strict financial regulations.
Real-Time Hyper-Personalization in 2026: Architecture Guide
Batch CDPs can't capture user intent as it forms. By the time a nightly sync runs, the moment is gone. This guide covers the streaming architecture behind real-time personalization, from sub-100ms ad bidding to cross-channel orchestration, with recommendation patterns built on Kafka and Flink.
How to Eliminate Training-Serving Skew With a Unified Real-Time Streaming ML Pipeline (2026 Guide)
Separate batch and streaming pipelines for ML features cause training-serving skew. DoorDash measured a 35.7% feature mismatch in their dual setup. This guide covers a unified kappa architecture using Flink to compute features once for both training and serving, plus a 2026 tooling comparison.
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 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.
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.
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.
