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.
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.
Explore new Streaming Agents features — Agent Definition, Observability & Debugging, and access to Real-Time Context Engine — to build intelligent, context-aware AI on Confluent.
Transform real-time Kafka data into governed, AI-ready Delta Lake tables with Confluent Tableflow and Databricks Unity Catalog. Simplify pipelines, ensure governance, and unlock real-time analytics and AI.
Explore updates from Confluent Cloud’s Q4 2025 release, including new capabilities and availability for Streaming Agents, new Real-Time Context Engine, and more.
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
Unified Stream Manager is now GA! Bridge the gap between Confluent Platform and Confluent Cloud with a single pane of glass for hybrid data governance, end-to-end lineage, and observability.
Confluent prioritizes resilience for mission-critical apps, ensuring high availability with 99.99% uptime SLA. We also provide a number of capabilities for monitoring and observability within your own systems.
Planning an Apache Kafka® migration? Learn how to estimate migration expenses, reduce costs, and compare self-managed vs managed real-time data platforms with expert insight.