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Confluent Blog
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
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...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
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.
Confluent Cloud: Making an Apache Kafka Service 10x Better
People often imagine that to provide a cloud service for a piece of open source software is a simple matter of packaging up the open source and putting it in […]
Modernize Your Business with Confluent’s Connector Portfolio
To win in today’s digital-first world, businesses must deliver exceptional customer experiences and data-driven, backend operations. This requires the ability to react, respond, and adapt to a continuous, ever-changing flow […]
Proven: Up to 73% Fewer Brokers With Confluent Private Cloud – and More
Confluent Private Cloud matches Kafka performance with up to 73% fewer brokers. Benchmarks prove massive TCO savings, while Centralized Policy Enforcement streamlines data governance and broker-native multi-tenancy provides the isolation needed to end "noisy neighbor" issues for good.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Cloud: Making Data, Pipelines, and Ops Accessible for AI-Ready Streaming
Confluent Cloud’s Q2 ‘26 launch makes AI-ready streaming accessible by delivering SQL-based workflows via the dbt adapter for Flink, enhanced developer tooling with managed MCP server and Agent Skills, production-grade AI solutions through Streaming Agents and Real-Time Context Engine, and more.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
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.
InfiniteWatch + Confluent: Turning Customer Interaction Data into Real-Time Intelligence
InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state. At its core is Confluent.
Designing Sovereignty in Real-Time Data Streaming
Confluent's architectural approach to digital sovereignty for real-time streaming, showcasing our deployment spectrum, zero-access guarantees, and open-source foundation