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Technology
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
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.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
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.
Powering AI Agents with Real-Time Data Using Anthropic’s MCP and Confluent
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…
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 Is GA: Unifying Apache Kafka® Topics with Apache Iceberg™️ and Delta Lake Tables in a Few Clicks
Tableflow represents Kafka topics as Apache Iceberg® (GA) and Delta Lake (EA) tables in a few clicks to feed any data warehouse, data lake, or analytics engine of your choice
Meet the Oracle XStream CDC Source Connector
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...
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 with Confluent Platform 7.9: Oracle XStream CDC Connector, Client-Side Field Level Encryption (EA), Confluent for VS Code, and More
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.
How To Delete a Topic in Apache Kafka®: A Step-By-Step Guide
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.
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.
Flink AI: Hands-On VECTOR_SEARCH()—Search a Vector Database with Confluent Cloud for Apache Flink®
Introduction to Flink SQL VECTOR_SEARCH() on Confluent cloud. VECTOR_SEARCH() along with ML_PREDICT() enables developers to execute GenAI use cases with data streaming technologies.
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
Your AI Project Has a Data Liberation Problem
Most AI projects fail not because of bad models, but because of bad data. Siloed, stale, and locked in batch pipelines, enterprise data isn’t AI-ready. This post breaks down the data liberation problem and how streaming solves it—freeing real-time data so AI can actually deliver value.
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.