New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
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.
Power Snowflake Cortex agents with real-time, trustworthy context using Confluent Intelligence, Streaming Agents, and the Real-Time Context Engine.
We are excited to announce that Confluent has entered into a definitive agreement to be acquired by IBM.
Confluent Hub has evolved into the new Confluent Marketplace—a curated catalog when you can discover, purchase, and deploy community and partner-built integrations and streaming solutions.
This blog introduces the concept of API chaining — a method where data is collected by sequentially calling multiple related APIs. The response from one API is used to construct the request for the next, creating a chain that enables richer, more contextual data collection.
This blog post highlights how Forrester Research has named Confluent a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2025, and explains the value and benefits of the Confluent Data Streaming Platform.
Scale data streaming within your organization by building an internal community. Align leaders, engage teams, and sustain adoption—featuring BMW Group’s blueprint and outcomes—to accelerate ROI and keep your platform relevant.
Learn why Confluent is expanding its team in Brazil so customers like iFood & Stone Pagamentos can use real-time data to modernize and out-innovate the competition.
Discover how a data streaming platform helps you unlock the full potential of your AI—and translates it into measurable business value.
Learn how to design and implement a real-time data monetization engine using streaming systems. Get architecture patterns, code examples, tradeoffs, and best practices for billing usage-based data products.
Learn how the built-in anomaly detection ML function in Confluent Cloud for Apache Flink® enables event-driven AI agents to detect and act on outlier system events faster.
Catch up on Current New Orleans—and how executives, architects, developers, and data engineers alike learned about why AI should be powered by event-driven, context-rich data streams.
Learn why Superwall chose to scale its subscription monetization business model with Warpstream and Clickhouse Cloud.
Unlock real-time context for AI with Confluent’s Real-Time Context Engine. Evaluate, process, and serve trustworthy context continuously in Confluent Cloud.
Explore new Streaming Agents features — Agent Definition, Observability & Debugging, and access to Real-Time Context Engine — to build intelligent, context-aware AI on Confluent.