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.
Ever wondered what it’s like to run Kafka in production? What about building and deploying microservices that process streams of data in real-time, at large scale? Or, maybe just the […]
In Q1, Confluent conducted a survey of the Apache Kafka® community and those using streaming platforms to learn about their application of streaming data. This is our second execution of […]
The Google Dataflow team has done a fantastic job in evangelizing their model of handling time for stream processing. Their key observation is that in most cases you can’t globally […]
In our previous post on the Streaming Pipelines track, we highlighted some of the sessions not to be missed at Kafka Summit NYC. As a follow on to that, let’s […]
Here at Confluent, our goal is to ensure every company is successful with their streaming platform deployments. Oftentimes, we’re asked to come in and provide guidance and tips as developers […]
Pandora began adoption of Apache Kafka® in 2016 to orient its infrastructure around real-time stream processing analytics. As a data-driven company, we have a several thousand node Hadoop clusters with hundreds of Hive tables critical to Pandora’s operational and reporting success...
It is just a few weeks out until Kafka Summit NYC! Since we’re on the program committee for this event and are also the track leads for the Streaming Pipelines track, […]
Note: The blog post Ensure Data Quality and Data Evolvability with a Secured Schema Registry contains more recent information. If you use Apache Kafka to integrate and decouple different data […]
It’s Strata+Hadoop World this week, and the who’s who of the data management world will gather at the San Jose Convention Center to talk all things big data. I’m kind […]
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 […]
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 […]
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 […]
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 […]
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 […]