Systems | Development | Analytics | API | Testing

At Confluent, we are committed to enhancing our product to meet the evolving needs of our customers. In the last year we’ve seen substantial increases in both UI users and UI usage. With such high growth, we’ve been looking for ways to improve experiences where we can. Based on internal and external validation, the Confluent Cloud Homepage was specifically identified as an area that could be improved.

Confluent Cloud, a leading cloud-native platform for building data streaming applications, and BigQuery, Google's serverless data warehouse, are revolutionizing how businesses handle data. Together, they offer a powerful solution for real-time data ingestion, processing, and analysis—now enhanced by BigQuery’s new continuous query. Many organizations grapple with challenges in moving data from their data warehouses to real-time processing platforms.

The Apache Flink community released Apache Flink 1.20 this week. In this blog post, we'll highlight some of the most interesting additions and improvements. You’ll find a comprehensive rundown of all of the updates in the official release announcement. Recent Flink releases have emphasized improving Flink’s usability, not only for developers, but also for those operating Flink clusters, and this theme continues in this latest release.

BT Group's Smart Event Mesh: Centralized Event Streaming With Decentralized Customer Experience, Automation, and a Foundation Built on Confluent. BT Group is a British multinational telecommunications holding company headquartered in London, England. It has operations in around 180 countries and is one of the largest telecommunications companies in the world, providing a range of products and services including fixed-line, broadband, mobile, and TV.

At Confluent we’re committed to building the world's leading data streaming platform that's cloud-native, complete, and available everywhere your data and applications reside. We offer this data streaming platform as a fully managed service in the cloud—Confluent Cloud; as a self-managed software that runs in your own environments—Confluent Platform; or as a hybrid of each of these.

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.