Hands-on Workshop: ZooKeeper to KRaft Without the Hassle | Secure Your Spot
Confluent Cloud
Data Products, Data Contracts, and Change Data Capture
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...
Unlock Cost Savings with Freight Clusters–Now in General Availability
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
Unlock the Power of Your Data Warehouse: Introducing the Snowflake Source Connector for Confluent Cloud
Confluent's new fully managed Snowflake Source connector eliminates operational overhead and transforms static Snowflake warehouse data into real-time operational insights for personalization engines, dashboards, and microservices architectures.
Streamlining Your Workflow – Confluent Cloud Console Feature Roundup
Using Confluent Cloud Console can help operators and developers better understand their Confluent Cloud Kafka clusters, topics and clients. Explore the key improvements with practical examples, highlighting the tangible benefits you can expect, from increased efficiency to better decision-making.
The Easiest Way to Power Real-Time AI: Confluent Announces Delta Lake Support & Unity Catalog Integration for Tableflow
Existing Confluent Cloud (CC) Databricks users can now use Tableflow to easily represent Kafka topics as Delta Lake tables and then leverage Databricks Unity Catalog to power real-time AI and analytics workloads.
Unlocking Real-Time Analytics With Confluent Tableflow, Apache Iceberg™, and Snowflake
Existing Confluent Cloud (CC) Snowflake users can now use Tableflow to easily represent Kafka topics as Iceberg topics and then leverage Snowflake Open Catalog to power real-time AI and analytics workloads.
Confluent Releases Managed V2 Connector for Apache Kafka® for Azure Cosmos DB
Announcing the GA of Confluent’s fully-managed Kafka Connector V2 for Azure Cosmos DB—now available in Confluent Cloud. Seamlessly stream real-time data to and from Cosmos DB with improved scalability, performance, and simplified setup.
Confluent Cloud の新機能: バッチとストリームによる最適な処理の融合
CC Q2 2025 adds Tableflow support for Delta Lake tables, Flink Snapshot Queries, maximum eCKU configuration for elastically scaling clusters, and more!
Optimizing Serverless Stream Processing with Confluent Freight Clusters and AWS Lambda
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.
Confluent for VS Code Simplifies Real-Time Data Streaming Projects for Developers
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.
New in Confluent Cloud: Tableflow, Freight Clusters, Apache Flink® AI Enhancements, and More
Confluent Cloud Q1 ’25 introduces Tableflow, Freight clusters, and Flink AI enhancements
Tableflow の一般提供を開始 : 数回のクリックで Apache Kafka® Topic を Apache Iceberg™️ および Delta Lake テーブルと統合
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。
Protect Your Data With Self-Managed Keys (BYOK) Enhancements
Discover how Confluent’s BYOK for Enterprise Clusters and support for EKMs enhance security, and efficient data streaming in our latest blog.
Cluster Linking for Azure Private Link is Now Available in Confluent Cloud
Confluent Cloud now supports Cluster Linking for Azure Private Link, enabling secure data replication between Kafka clusters in private Azure environments. With Cluster Linking, organizations can achieve real-time data movement, disaster recovery, migrations, and secure data sharing
Managing Data Contracts: Helping Developers Codify “Shift Left”
The concept of “shift left” in building data pipelines involves applying stream governance close to the source of events. Let’s discuss some tools (like Terraform and Gradle) and practices used by data streaming engineers to build and maintain those data contracts.
Automating Podcast Promotion with AI and Event-Driven Design
We built an AI-powered tool to automate LinkedIn post creation for podcasts, using Kafka, Flink, and OpenAI models. With an event-driven design, it’s scalable, modular, and future-proof. Learn how this system works and explore the code on GitHub in our latest blog.