New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
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.
Protect sensitive data with Data Contracts using Confluent Schema Registry.
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
Confluent Cloud’s Q3 launch delivers cost-effective streaming with new features like Private Network Interface (PNI) for lower networking costs, boosted client connection limits, Streaming Agents for real-time agentic AI, expanded Tableflow functionality with upserts, Cluster Linking on Google Cl...
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...
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.
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.
Confluent Tableflow unifies operational and analytical data by integrating Kafka with zero ETL, leveraging open table formats such as Iceberg and Delta Lake. It offers advantages over traditional zero ETL by enabling data reuse, schema decoupling, and better scalability, streamlining data sharing.
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.
This blog post demonstrates building streaming ETL pipelines with Confluent Cloud for Apache Flink using SQL to transform and enrich UK flood monitoring data. It shows how to unpack nested JSON arrays, join multiple data sources, and use Tableflow to expose the enriched data as Iceberg tables for...
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.
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.