Neu in Confluent Cloud: Daten & Pipelines für KI-fähiges Streaming zugänglich machen | Mehr erfahren
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.
At the recent Kafka Summit, Confluent announced the general availability of Stream Governance–the industry’s only governance suite for data in motion. Offered as a fully managed cloud solution, it delivers […]
Kafka Streams is an abstraction over Apache Kafka® producers and consumers that lets you forget about low-level details and focus on processing your Kafka data. You could of course write […]
How do you continuously process half a terabyte of data in real time? That’s the exact question we had to answer. Leadnomics is a digital marketing company that helps companies […]
Extensive out-of-the-box functionality, a large user community, and up-to-date, cloud-native features make Spring and its libraries a strong option for anchoring your Apache Kafka® and Confluent Cloud based microservices architecture. […]
Many Oracle Database customers currently still leverage Oracle 12c or 18c in their production environments, with some even using Oracle 11g. Most of these customers have moved to 19c or […]
Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It […]
Data silos across an organization are common, with valuable business insights waiting to be uncovered. This is why at Confluent we built a portfolio of fully managed connectors to enable […]
Today, an organization’s strategic objective is to deliver innovations for a connected life and to improve the quality of life worldwide. With connected devices comes data, and with data comes […]
The distributed architecture of Apache Kafka® can cause the operational burden of managing it to quickly become a limiting factor for adoption and developer agility. For this reason, it is […]
We’re pleased to announce ksqlDB 0.21.0! This release includes a major upgrade to ksqlDB’s foreign-key joins, the new data type BYTES, and a new ARRAY_CONCAT function. All of these features […]
I’m pleased to announce the release of Apache Kafka 3.0 on behalf of the Apache Kafka® community. Apache Kafka 3.0 is a major release in more ways than one. Apache […]
GraphQL and Apache Kafka® are sometimes troubled with misconceptions. One of the reasons for this is that people are often familiar with one but not the other. GraphQL is mostly […]
Data governance initiatives aim to manage the availability, integrity, and security of data used across an organization. With the explosion in volume, variety, and velocity of data powering the modern […]
I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost […]