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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.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
How Confluent Is Enhancing and Easing Migration to Fully Managed Connectors
Confluent has enhanced its fully managed connectors with new features like exposed connector logs for non-admins, plugin versioning, expanded SMT support, custom topic naming for DLQ and error topics, and specific connector updates. These improvements offer better control, data guarantees, user...
From Oracle to MongoDB: How to Modernize Your Tech Stack for Real-Time AI Decisioning
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.
Introducing Private Network Interface: Secure Private Networking on AWS for 50% Less
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.
How NeuBird's Hawkeye Automates Incident Resolution in Confluent Cloud
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.
Why Hosted Apache Kafka® Leaves You Holding the Bag
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.
Unlocking Real-Time Analytics on AWS With Tableflow, Apache Iceberg™, and the AWS Glue Data Catalog
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.
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.
New in Confluent Cloud: Bringing Together the Best of Batch and Stream Processing
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.