New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
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...
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.
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.
Manual schema management in Apache Kafka® leads to rising costs, compatibility risks, and engineering overhead. See how Confluent lowers your total cost of ownership for Kafka with Schema Registry and more.
Manual Apache Kafka® monitoring and tool sprawl drive hidden costs in time, complexity, and cloud spend. Learn how Confluent lowers total cost of ownership for Kafka with integrated monitoring.
Discover the real cost of building a data streaming platform in-house. Learn what drives expenses, compare to managed solutions, and see how to optimize total cost of ownership for platforms powered by Apache Kafka®.
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.
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.
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.
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.
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.