[Webinar] How to Implement Data Contracts: A Shift Left to First-Class Data Products | Register Now
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...
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.
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.
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 Cloud is expanding on Jio Cloud in India. New features include Public and Private Link networking, the new Jio India Central region for multi-region resilience, and streamlined procurement via Azure Marketplace. These features empower Indian businesses with high-performance data streaming.
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.
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.
Learn how to stream real-time data from Confluent to AWS EventBridge. Set up the connector, explore use cases, and build scalable event-driven apps.
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.
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.
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.