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.
Over a year ago, Confluent set out on a mission to improve user experience by empowering developers, operators, and architects with intuitive command line interfaces (CLIs) for managing their Confluent […]
This month, we kicked off Project Metamorphosis by introducing several Confluent features that make Apache Kafka® clusters more elastic—the first of eight foundational traits characterizing cloud-native data systems that map […]
For many organizations, Apache Kafka® is the backbone and source of truth for data systems across the enterprise. Protecting your event streaming platform is critical for data security and often […]
Recently, I’ve been looking at what’s possible with streams of Wi-Fi packet capture (pcap) data. I was prompted after initially setting up my Raspberry Pi to capture pcap data and […]
Using a powerful, event-driven application can help you unlock insights contained in the event streams of your business. Before we get into the technology, let’s go over some questions you […]
Confluent Cloud supports Schema Registry as a fully managed service that allows you to easily manage schemas used across topics, with Apache Kafka® as a central nervous system that connects […]
What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you, […]
Currently, Apache Kafka® uses Apache ZooKeeper™ to store its metadata. Data such as the location of partitions and the configuration of topics are stored outside of Kafka itself, in a […]
We’re pleased to announce the release of ksqlDB 0.9.0! This version includes support for multi-join statements, enhanced LIKE expressions, and a host of usability improvements. We’ll go through a few […]
Imagine you’ve got a stream of data; it’s not “big data,” but it’s certainly a lot. Within the data, you’ve got some bits you’re interested in, and of those bits, […]
Everyone wants their infrastructure to be highly available, and ksqlDB is no different. But crucial properties like high availability don’t come without a thoughtful, rigorous design. We thought hard about […]
Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased […]
A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […]
One of the most critical aspects of any scale-out database is its availability to serve queries during partial failures. Business-critical applications require some measure of resilience to be able to […]