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'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.
Turn legacy Oracle data into real-time AI insights using Kafka, Flink, and MongoDB. Learn how to stream, enrich, and personalize faster than batch ever could.
Confluent has introduced Private Network Interface (PNI) for AWS, a new secure networking option that helps save 50% on networking costs and has been successfully adopted by customers like Indeed. PNI is now available for Enterprise and Freight clusters.
Introducing NeuBird’s Hawkeye—a GenAI-powered SRE assistant purpose-built to streamline these operational demands. By intelligently ingesting telemetry, alert, and audit data from Confluent Cloud and automating diagnostic workflows, Hawkeye helps teams reduce MTTR and accelerate root cause analysis.
A behind-the-scenes look at why hosted Kafka falls short—and how Confluent Cloud’s architecture solves for cost, resilience, and operational simplicity at scale.
Existing Confluent Cloud (CC) AWS users can now use Tableflow to easily represent Kafka topics as Iceberg tables and then leverage AWS Glue Data catalog to power real-time AI and analytics workloads.
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.
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.
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.
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.
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.
CC Q2 2025 adds Tableflow support for Delta Lake tables, Flink Snapshot Queries, maximum eCKU configuration for elastically scaling clusters, and more!
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.
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