Systems | Development | Analytics | API | Testing

Confluent Announces Partnership With Salesforce | Current '25 Keynote Highlights

– ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s 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, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

Context-Driven AI Reigned Supreme at Current New Orleans

AI is redefining what it means to build data-driven businesses. It’s no longer about mining insights from data—it’s about creating intelligent systems that can understand the state of the business and act on its behalf in real time. And in this new era, context data is king. That was the recurring theme at Current New Orleans, the data streaming event that drew in thousands of attendees, in-person and online.

Easily Create a Real-Time AI Sales Coaching App With Confluent

Confluent data streaming platform makes creating a real-time sales meeting coach app easy. Event-driven architecture, Apache Flink SQL simplicity, and built-in connectors deliver the right messaging at the right time, straight from your company’s knowledge base.#confluent.

Confluent expands Tableflow to power real-time analytics and AI across clouds

GA of Delta Lake and Databricks Unity Catalog integrations simplify how organisations turn streaming data into governed, analytics-ready tables. New enterprise features and Microsoft OneLake availability strengthen reliability, security, and multicloud flexibility.

Demo: Streaming Agents for price matching, with RAG, observability, and Real-Time Context Engine

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents on Apache Flink and Apache Kafka. Embedded in the stream, they can tap into the latest enriched data and be the eyes and ears of a business, continuously monitoring and acting on live operational events. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build price matching agents, do vector search for retrieval augmented generation (RAG), and leverage Confluent’s Real-Time Context Engine to process and serve fresh context the moment it’s needed for AI decision-making.

Keynote: Building Intelligent Systems on Real-time Data

Join Jay Kreps, Confluent leadership, our customers, and industry thought leaders to learn how you can build intelligent systems with real-time data. We’ll show you why streaming is becoming ubiquitous across the business—and how that unlocks a shift-left approach: process and govern at the source, then reuse everywhere. Expect live demos and candid customer stories that make it concrete. Whether you’re a data leader, architect, or builder, you’ll leave with practical playbooks for bringing real-time AI to production. The future is here-let's ignite it together!

Why Apache Kafka Migration Costs Are Often Underestimated

As a critical, stateful system, migrating Apache Kafka deployments is virtually always a complex engineering project where the most significant expenses are often hidden. Scoping and committing to a Kafka migration requires multiple layers of careful calculation involving infrastructure choices, data complexity, team expertise, and risk tolerance. Underestimating these variables leads to blown budgets and extended timelines.