Technology

2026年第2四半期のConfluent Cloud新機能により、AI-Readyなデータストリーミングがさらに利用しやすくなります。今回のアップデートでは、Flink用dbtアダプターによるSQLベースのワークフロー、マネージドMCPサーバーやAgent Skillsによる開発者向けツールの強化、そしてStreaming AgentsやReal-Time Context Engineを通じた本番環境向けAIソリューションなどが提供されます。

Real-Time Context Engineによるクエリ機能の強化、PII検出、センチメント分析、およびTimesFM、Anthropic、Fireworks AIの各モデルのサポートなど、Confluent Intelligenceの新機能をご紹介します。

Confluent's architectural approach to digital sovereignty for real-time streaming, showcasing our deployment spectrum, zero-access guarantees, and open-source foundation

Confluent Tableflow simplifies the process of feeding data lakes and lakehouses by turning Kafka topics directly into analytics-ready Iceberg or Delta Lake tables, eliminating complex traditional ETL stacks leading to 30%–50% lower total ingestion costs.

This blog post introduces KCP integration with Gateway, which automates Kafka client cutover by routing traffic through an auth-translating proxy and orchestrating group-based, offset-safe migrations to Confluent Cloud with just a few CLI commands.

Confluent Platform 8.2 をリリース！Apache Kafka 4.2 を基盤とし、ネイティブなタスクキュー・ワークロードを実現するQueues for Apache Kafka (GA)や、ストリーム処理を簡素化するFlink SQL (GA)を提供。さらに、Confluent Private Cloud Gateway 1.2 により、クライアントのシームレスな切り替えが可能になり、クラスタ移行の管理がこれまで以上に容易になりました。

Batch ELT pipelines create duplication, cost spikes, and governance gaps as data scales. Here’s why enterprises are rethinking legacy integration models.

Learn how to add your first ML model to a real-time streaming pipeline. Learn a simple, low-risk pattern for inference, scoring, and deployment with Apache Kafka®.

Confluent’s Schema IDs in headers transform Kafka from "dumb pipes" to a "smart data plane." By moving metadata out of payloads, teams can schematize topics without breaking legacy apps or requiring big-bang migrations. This unlocks governed, AI-ready data for Flink and lakehouses with ease.

Design energy-efficient, low-cost streaming systems. Learn GreenOps patterns to reduce compute waste, optimize storage, and lower the carbon footprint of real-time data.

At Confluent, our mission is to provide the world’s most secure and scalable data streaming platform. As cryptographic standards evolve to meet the challenges of the future, we are committed to ensuring your data remains protected against emerging threats—including the eventual development of Cr...

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...

Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.

Explore the latest Confluent client updates, featuring Python asyncio general availability, improved support for Schema Registry and more.