Confluent Blog

Explore how Flink Agents redefine enterprise AI with real-time data, event-driven processing, and scalable autonomy—built for the future of AI workflows.

We will use Chess to explain some of the core ideas behind Confluent Cloud for Apache Flink. We’ve used the chessboard as an analogy to explain the Stream/Table duality before, but will expand on a few other concepts. Both systems involve sequences, state, timing, and pattern recognition and...

AI is bringing changes in developer experience… we shared what we learned in this article about creating our new GitHub Copilot chat extension for data streaming engineers.

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.

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.

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.

Learn what pushes Olof to bring his best in his role as a Principal Customer Success Manager at Confluent.

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.

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.

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.

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.

Discover how Account Executive Jason helps customers turn roadblocks into wins—powered by Confluent’s collaborative, one-team culture.