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。
The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of fully managed...
Learn how to track events in a large codebase, GitHub in this example, using Apache Kafka and Kafka Streams.
Learn best practices for using Confluent Schema Registry, including understanding subjects and versions, pre-registering schemas, using data contracts, and more.
Learn about our vision for Tableflow, a new feature in private early access that makes it push-button simple to take Apache Kafka® data and feed it directly into your data lake, warehouse, or analytics engine as Apache Iceberg® or Delta Lake tables.
このたび、3つの主要なクラウドすべてで Confluent Cloud for Apache Flink の一般提供を開始したことをお知らせします。これにより、Kafka と Flink を、データをリアルタイムで接続・処理するための統合されたエンタープライズグレードのプラットフォームとして体験できるようになりました。
We’re excited to share the latest and greatest features on Confluent Cloud, in our first launch of 2024. Learn more about our latest updates including serverless Apache Flink, exciting pricing changes, updates to connectors, and more!
Check out all the highlights from the Apache Flink® 1.19 release!
Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!
Several key new features have been added to Confluent Cloud for Apache Flink this year including Topic Actions, Terraform support, and expansion into GCP and Azure. Let's take a look at these enhancements and how they empower users to harness the full potential of streaming data.
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Over the last two years, we have periodically announced Confluent Platform releases, each building on top of the innovative feature set from the previous release. Today, we will talk about some of these core features that make hybrid and on-premises data streaming simple, secure, and resilient.
Learn how to use Confluent for Kubernetes to enable GitOps with a CI/CD pipeline and delegate resource creation to groups of people without distributing admin permission passwords to other people in the organization.
Turning events into outcomes at scale is not easy! It starts with knowing what events are actually meaningful to your business or customer’s journey and capturing them. At Confluent, we have a good sense of what these critical events or moments are.
Confluent offers a powerful CLI that lets you quickly create and manage Apache Kafka® clusters and Apache Flink® compute pools and all associated operations with both. The CLI now supports plugins that allow for custom commands and creation of dynamic workflows and automation.