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Confluent

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion — designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.

Featured Products

Featured Content

  • The Builder’s Guide to Streaming Data Mesh

    Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.

  • Shift Left: Unifying Operations and Analytics With Data Products

    Extract-transform-load (ETL) and extract-load-transform (ELT) data pipelines have long been the primary means for getting data into the analytics plane. But data consumers in the analytics domain have had little to no control or influence over the source data model, which is commonly defined by application developers in the operational domain.

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Articles / Case Studies / Videos

  • Data Products, Data Contracts, and Change Data Capture

    Reading time: 23 mins

    Change Data Capture (CDC) is a popular method for connecting databases to data streams but can expose internal data models, leading to risks; the solution lies in developing first-class data products with data contracts that decouple internal and external models, facilitated by tools like Apache Kafka and Flink, allowing for reliable, high-quality data sharing while…

  • Introducing Confluent Cloud Freight Clusters

    Reading time: 5 mins

    Confluent has launched Freight clusters, a cost-effective cloud-native solution for high-throughput, relaxed latency workloads, offering savings of up to 90% compared to self-managed Apache Kafka by utilizing a direct write mode to object storage, thereby eliminating costly inter-AZ data replication. Membership Required You must be a member to access this content.View Membership LevelsAlready a member?…

  • Contributing to Apache Kafka®: How to Write a KIP

    Reading time: 6 mins

    I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘[DISCUSS] KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka® internals, the process of writing KIPs, the Kafka community, and the most...…