Introducing Streamhouse: the open data architecture for AI | Learn More
Technology
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.
開発者向けAIツール提供開始 — ConfluentのMCPサーバーとAgent Skills
ConfluentのAI開発者向けツールが一般提供（GA）されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
How to Monetize Enterprise Data: The Definitive Guide
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.
Detecting the Unexpected: Built-in Real-Time Anomaly Detection With Confluent Cloud for Apache Flink®
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.
Real-Time Context Engineのご紹介: AI 向けリアルタイム処理データによって簡素化されるコンテキストエンジニアリング
Real-Time Context EngineでAIのリアルタイムコンテキストを解き放つ。Confluent Cloudで信頼性の高いコンテキストを継続的に評価、処理、提供。
より速く、よりスマートに、よりコンテキストアウェアに: Streaming Agentsの新機能
Streaming Agentsの初めての発表はお客様の根本的な課題の解決につながりました。実はそれは、あらゆる AI の問題はデータの問題であるということです。
ストリーミングデータをAI対応テーブルへ：Delta LakeおよびDatabricks Unity Catalog対応Tableflowの一般提供を開始
Confluent TableflowとDatabricks Unity Catalogを活用し、リアルタイムのKafka データをガバナンス対応のAI対応Delta Lakeテーブルに変換。パイプラインを簡素化し、ガバナンスを確保し、リアルタイム分析とAIの可能性を解き放ちます。
Unified Stream Manager: Manage and Monitor Apache Kafka® Across Environments
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 is Production Ready: Delta Lake, Unity Catalog, Azure Early Availability (EA), and More Enterprise-Grade Features
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.
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
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...
Why Apache Kafka® Migration Costs Are Often Underestimated
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 and Your Data: A Partnership You Can Trust
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.
The True Cost of Real-Time Data Streaming
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.
How to Build Real-Time Compliance & Audit Logging With Apache Kafka®
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.
Connect Migration Utility: Convert Self-Managed Connectors to Fully Managed in a Few Minutes
Use Confluent’s open source Connect migration utility to discover, assess, map, validate, and cut over self-managed Kafka connectors to fully managed in minutes.