Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
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。
An Apache Flink® job not producing results often indicates an issue with watermarks, which are necessary for handling out-of-order message processing in time-based aggregations from Kafka. Watermarks balance data loss and latency by defining how long to wait for late messages. Incorrectly setting...
This blog explores how to integrate Confluent Tableflow with Trino and use Jupyter Notebooks to query Apache Iceberg tables. Learn how to set up Kafka topics, enable Tableflow, run Trino with Docker, connect via the REST catalog, and visualize data using Pandas. Unlock real-time and historical an...
Dinnertime with picky toddlers is chaos, so I built an AI-powered meal planner using event-driven multi-agent systems. With Kafka, Flink, and LangChain, agents handle meal planning, syncing preferences, and optimizing grocery lists. This architecture isn’t just for food, it can tackle any workflow.
Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other…
Explore how data contracts enable a shift left in data management making data reliable, real-time, and reusable while reducing inefficiencies, and unlocking AI and ML opportunities. Dive into team dynamics, data products, and how the data streaming platform helps implement this shift.
This blog outlines how to build cost-effective, high-throughput serverless streaming applications using Confluent Cloud Freight clusters for data ingestion and AWS Lambda functions for processing.
Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies AI integrations by providing a secure and consistent way to connect AI agents with external tools and data sources…
We’re excited to announce that Confluent for VS Code is now Generally Available with Confluent Cloud and Confluent Platform! This integration with Visual Studio Code is open source, readily accessible on the VS Code Marketplace, and supports all forms of Apache Kafka® deployments.
Confluent Cloud Q1 ’25 introduces Tableflow, Freight clusters, and Flink AI enhancements
This blog announces the general availability of Confluent Platform 7.9 and its latest key features: Oracle XStream CDC Connector, Client-Side Field Level Encryption (EA), Confluent for VS Code, and more.
Tableflow は、数回のクリックで Kafka Topic を Apache Iceberg® (一般提供) および Delta Lake (早期アクセス) テーブルとして表現し、任意のデータウェアハウス、データレイク、分析エンジンにフィードします。
Confluent's new Oracle XStream CDC Premium Connector delivers enterprise-grade performance with 2-3x throughput improvement over traditional approaches, eliminates costly Oracle GoldenGate licensing requirements, and seamlessly integrates with 120+ connectors...
Learn how to delete topics in Apache Kafka safely and efficiently. Explore step-by-step instructions, best practices, and important considerations for managing Kafka topics.