Confluent Blog
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...
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
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...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
Connecting the Dots: Simplifying Multi-API Data Flows into Apache Kafka®
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.
Confluent が「2025 年第 4 四半期のForrester Wave™: ストリーミングデータプラットフォーム」でリーダー企業に選出
このブログ記事では、Forrester Researchが『The Forrester Wave™: Streaming Data Platforms, Q4 2025』においてConfluentをリーダーに選定した経緯、Confluentデータストリーミングプラットフォームの価値とメリットについて解説します。
The Secret to Scaling Data Streaming at BMW Group
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.
Confluent Expands in Brazil to Help More Companies Harness Real-Time Data
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.
Data Streaming Platforms: The Cornerstone of Enterprise AI
Discover how a data streaming platform helps you unlock the full potential of your AI—and translates it into measurable business value.
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.
Context-Driven AI Reigned Supreme at Current New Orleans
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.
How Superwall Uses WarpStream and ClickHouse Cloud to Scale Subscription Monetization
Learn why Superwall chose to scale its subscription monetization business model with Warpstream and Clickhouse Cloud.
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.