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Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
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.
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
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.
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.
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.
This blog announces the general availability of the next generation of Control Center for Confluent Platform
CC Q2 2025 adds Tableflow support for Delta Lake tables, Flink Snapshot Queries, maximum eCKU configuration for elastically scaling clusters, and more!