Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
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.
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.
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.
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.
Tableflow on Confluent Cloud now supports Delta Lake, Unity Catalog, and Azure (EA) for secure, governed, real-time analytics from Apache Kafka data - no ETL or custom pipelines required.
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...
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.
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.
Explore the hidden costs of real-time streaming—compare infrastructure, ops, and ROI between Confluent Cloud and self-managed Apache Kafka®. Learn how auto-scaling and governance lower TCO.
Learn how to build a real-time compliance and audit logging pipeline using Apache Kafka® or the Confluent data streaming platform with architecture details and best practices including schemas, immutability, retention, and more.