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Confluent Blog
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.
New With Confluent Platform 8.0: Stream Securely, Monitor Easily, and Scale Endlessly
This blog announces the general availability (GA) of Confluent Platform 8.0 and its latest key features: Client-side field level encryption (GA), ZooKeeper-free Kafka, management for Flink with Control Center, and more.
Moving Up the Curve: 5 Tips For Enabling Enterprise-Wide Data Streaming
Confluent recently released its 2024 Data Streaming Report: Breaking Down the Barriers to Business Agility & Innovation. The report found that data streaming is delivering business value with 41% of IT leaders, driving up to 5x or more return on their data streaming investments.
Confluent Champion: How Olof Solves for Customer Success
Learn what pushes Olof to bring his best in his role as a Principal Customer Success Manager at Confluent.
7 Steps to Build an AI-Powered Personalization Engine With Confluent & Databricks
Build a real-time Marketing Personalization Engine using Confluent and Databricks. Learn how to stream, process, and prepare high-quality data products with Kafka and Flink, then feed them directly into Databricks for AI-powered personalization with Tableflow with a step-by-step quickstart guide.
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.
Introducing KIP-848: The Next Generation of the Consumer Rebalance Protocol
Big news! KIP-848, the next-gen Consumer Rebalance Protocol, is now available in Confluent Cloud! This is a major upgrade for your Kafka clusters, offering faster rebalances and improved stability. Our new blog post dives deep into how KIP-848 functions, making it easy to understand the benefits.
How to Query Apache Kafka® Topics With Natural Language
The users who need access to data stored in Apache Kafka® topics aren’t always experts in technologies like Apache Flink® SQL. This blog shows how users can use natural language processing to have their plain-language questions translated into Flink queries with Confluent Cloud.
How AEs Champion Long-Term Customer Success
Discover how Account Executive Jason helps customers turn roadblocks into wins—powered by Confluent’s collaborative, one-team culture.
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.
Introducing the Next Generation of Control Center for Confluent Platform: Enhanced UX, Faster Performance, and Unparalleled Scale
This blog announces the general availability of the next generation of Control Center for Confluent Platform
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!
Report: Why IT Leaders Are Prioritizing Data Streaming Platforms
Announcing the launch of the 2025 Data Streaming Report—highlighting some of the key findings from the report, including data streaming platform’s role in driving AI success.
5 Steps to Building With AI: What It Can Do Reliably (and How to Start)
This post introduces the VISTA Framework, a structured approach to prioritizing AI opportunities. Inspired by project management models such as RICE (Reach, Impact, Confidence, and Effort), VISTA focuses on four dimensions: Business Value, Implementation Speed, Scalability, and Tolerance for Risk