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.
We are pleased to announce the release of Confluent Platform 5.5. With this release, Confluent makes event streaming more broadly accessible to developers of all backgrounds, enhancing three categories of […]
Confluent Hub launched in 2018 as a place to discover and share Apache Kafka® and Confluent Platform plugins. Users have found the site a much better place to discover useful […]
Today, we are excited to announce that after a highly productive period of being in private preview, Confluent Cloud KSQL is now production ready and available to all Confluent Cloud […]
Running fully managed Apache Kafka® as a service brings many responsibilities that leading cloud providers hide well. There is a reason why cloud services are so popular right now— companies realize […]
In July 2017, Confluent launched a private preview of what would later be known as Confluent Cloud. This platform as a service product has grown rapidly; less than three years […]
As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL pipelines to the cloud, as well as building new ones. There […]
Single-cluster deployments of Apache Kafka® are rare. Most medium to large deployments employ more than one Kafka cluster, and even the smallest use cases include development, testing, and production clusters. […]
When building API-driven web applications, there is one key metric that engineering teams should minimize: the blocked factor. The blocked factor measures how much time developers spend in the following […]
We just released Confluent Platform 5.4, which is one of our most important releases to date in terms of the features we’ve delivered to help enterprises take Apache Kafka® and […]
Less than six months ago, we announced support for Microsoft Azure in Confluent Cloud, which allows developers using Azure as a public cloud to build event streaming applications with Apache […]
The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […]
A preview of Confluent Tiered Storage is now available in Confluent Platform 5.4, enabling operators to add an additional storage tier for data in Confluent Platform. If you’re curious about […]
I am pleased to announce the release of Confluent Platform 5.4. Like any new release of Confluent Platform, it’s packed with features. To make them easier to digest, I want […]
This article shows how you can offload data from on-premises transactional (OLTP) databases to cloud-based datastores, including Snowflake and Amazon S3 with Athena. I’m also going to take the opportunity […]