Wir stellen Streamhouse vor: die offene Datenarchitektur für KI | Mehr erfahren
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
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.
Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time. […]
I’m excited to announce that Confluent was presented with the Databricks ISV Momentum Award at the Databricks Partner Executive Summit last month. This award is given to the partner whose […]
Today, Confluent became a publicly traded company. This is a big milestone in the short life of our company. To the employees, customers, partners, investors, and the larger developer community […]
Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […]
To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]
Stream processing has become an important part of the big data landscape, a new programming paradigm bringing asynchronous, long-lived computations to unbounded data in motion. But many people still think […]
This blog post is the fourth in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on removing […]
This blog post is the third in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on inspecting […]
This blog post is the second in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. This blog post focuses […]
Managing Apache Kafka® clusters can be tricky sometimes. To solve this problem, Confluent Control Center helps you easily manage and monitor your clusters and interact with other Confluent components, such […]
For a modern, software-defined business, a platform for data in motion is critical to connecting every part of a vast digital architecture across an organization to harness the flow of […]
We are pleased to announce that Confluent has been named a Strong Performer in The Forrester Wave: Streaming Analytics, Q2 2021 report (the report is available to Forrester subscribers or […]
What if I told you there is a query your database can’t answer? That would probably surprise you. With decades of effort behind them, databases are one of the most […]
This is part two in a blog series on streaming a feed of AIS maritime data into Apache Kafka® using Confluent and how to apply it for a variety of […]