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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.
Log Compaction – Highlights in the Apache Kafka® and Stream Processing Community – March 2017
Big news this month! First and foremost, Confluent Platform 3.2.0 with Apache Kafka® 0.10.2.0 was released! Read about the new features, check out all 200 bug fixes and performance improvements […]
The Arrival of Streaming: Confluent Raises $50 Million Series C
I have some exciting news to share: we’ve completed a $50 million investment led by our newest partner, Sequoia Capital and Matt Miller of Sequoia will be joining our board […]
Confluent 3.2 with Apache Kafka® 0.10.2 Now Available
We’re excited to announce the release of Confluent 3.2, our enterprise streaming platform built on Apache Kafka. At Confluent, our vision is to provide a comprehensive, enterprise-ready streaming platform that […]
Kinetica Joins Confluent Partner Program and Releases Confluent Certified Connector for Apache Kafka®
This guest post is written by Chris Prendergast, VP of Business Development and Alliances at Kinetica. Today, we’re excited to announce that we have joined the Confluent Partner Program and […]
Join us for Kafka Summit Hackathon in New York City
I’m happy to announce Confluent will be hosting another Kafka Summit Hackathon on May 7th in New York City! The free hackathon will take place a day prior to Kafka […]
Kafka Summit New York Keynote Speakers and Agenda Set
We are excited to announce the keynote speakers and agenda for Kafka Summit NYC on May 8th! Mirroring the growth of Apache Kafka®, we received an overwhelming number of speaking […]
The First Annual State of Apache Kafka® Client Use Survey
At the end of 2016 we conducted a survey of the Apache Kafka® community regarding their use of Kafka clients (the producers and consumers used with Kafka) and their priorities […]
Log Compaction – Highlights in the Apache Kafka and Stream Processing Community – February 2017
As always, we bring you news, updates and recommended content from the hectic world of Apache Kafka® and stream processing. Sometimes it seems that in Apache Kafka every improvement is […]
Confluent Delivers Upgrades to Clients, The streams API in Kafka, Brokers and Apache Kafka™ 0.10.1.1
Last November, we released Confluent 3.1, with new connectors, clients, and Enterprise features. Today, we’re pleased to announce Confluent 3.1.2, a patch release which incorporates the latest stable version of […]
Apache Kafka: Getting Started
Seems that many engineers have “Learn Kafka” on their new year resolution list. This isn’t very surprising. Apache Kafka is a popular technology with many use-cases. Armed with basic Kafka […]
Log Compaction: Highlights in the Apache Kafka and Stream Processing Community – January 2017
Happy 2017! Wishing you a wonderful year full of fast and scalable data streams. Many things have happened since we last shared the state of Apache Kafka® and the streams […]
The Data Dichotomy: Rethinking the Way We Treat Data and Services
If you were to stumble upon the whole microservices thing, without any prior context, you’d be forgiven for thinking it a little strange. Taking an application and splitting it into fragments, […]
Enterprise Streaming Multi-Datacenter Replication using Apache Kafka
One of the most common pain points we hear is around managing the flow and placement of data between datacenters. Almost every Apache Kafka user eventually ends up with clusters […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | December 2016
This month saw the proposal of a few KIPs which will have a big impact on Apache Kafka’s semantics as well as Kafka’s operability. KIP-95 : Incremental Batch Processing for […]