Systems | Development | Analytics | API | Testing

Empowering the Data Streaming Ecosystem: Evolving Confluent Hub to Confluent Marketplace

Today marks a monumental step in our commitment to fueling the growth, reach, and impact of our global partner network. We’re thrilled to announce the official launch of Confluent Marketplace (formerly Confluent Hub), a centralized resource designed to accelerate innovation, drive connectivity, and dramatically simplify the developer experience within the data streaming landscape. For years, integration engineers have been the quiet force behind the modern digital world.

Connecting the Dots: Simplifying Multi-API Data Flows into Apache Kafka

In today’s data-driven software-as-a-service (SaaS) environments, the need for complete customer insights often requires fetching and sharing data that lives across multiple API endpoints. That’s why many of our customers want to use Confluent’s data streaming and integration capabilities to implement real-time API chaining—a technique that allows them to automatically follow relationships between APIs.

Confluent Recognized as a Leader in The Forrester Wave: Streaming Data Platforms, Q4 2025

As artificial intelligence (AI) adoption has grown over the last several years, it has become increasingly clear to companies and observers that successful AI requires real-time data and context. And it’s not just AI—every critical business function that relies on data inputs needs that data to be as trustworthy and fresh as possible.

LIVE from Current NOLA: Scaling Streaming in the AI Era | Life Is But A Stream

From the heart of the expo hall at Current NOLA, this special episode drops you into the conversations, energy, and the breakthroughs as they happened. Host, Joseph Morais, and co-host, Adi Polak talk with data streaming leaders and community voices to unpack how teams are using Apache Kafka and Apache Flink to power low-latency, AI-ready applications—covering patterns from usage-based billing and hybrid operations to cost efficiency and streaming governance. You’ll also hear how shift-left processing and governance make AI-ready data possible at scale.