Confluent (Blog)

Aug 18, 2026Read Time: 12 min Aug 18, 2026Read Time: 12 min In the last few months, Confluent has released over 70 new features to our data streaming platform, ranging from new connectors to better networking connectivity to entirely new ways to build streaming applications. We are not slowing down. Confluent’s DSP can do more, across every pillar, in ways that are more powerful, more complete, and more connected than ever before.

Organizations today are under immense pressure to deliver on two critical fronts: building mission-critical, real-time operational systems and powering the next generation data science and artificial intelligence (AI) workflows with analytics-ready data. Historically, achieving both meant navigating a divided, complex architecture.

Aug 14, 2026Read Time: 10 min Aug 14, 2026Read Time: 10 min (A related blog was published on Neuron Systems in July 2026.) Between June 11 and July 19, 2026, Neuron Systems ran live commentary on every match of the FIFA World Cup 2026. All 104 of them, in 8 languages, for 2.3 million unique fans. The same 6 agents ran every one of the 41 active production days with 0 swaps. Median glass-to-glass latency held at 42 ms.

Jul 29, 2026Read Time: 9 min Jul 29, 2026Read Time: 9 min Platform teams want to maximize the value of data in motion, but separate workstreams for stream processing, monitoring, KRaft migrations, and data governance create friction as environments grow. As a result, teams spend more time managing operational overhead and less time building. Today, we’re excited to announce Confluent Platform (CP) 8.3.0, built on Apache Kafka® 4.3.0, reinforcing our core capabilities as a data streaming platform.

The Governance Gap in Modern Data Architecture As organizations have transitioned from batch processing to real-time streaming architectures, a critical governance gap has emerged. Legacy data governance tools designed for databases, warehouses, and file systems assume that information is stationary and focus on protecting, classifying, and auditing data at rest.

Jun 23, 2026Read Time: 19 min Jun 23, 2026Read Time: 19 min Executive Summary Hyper-personalization in 2026 is the ability to act on a user's current intent within the current session, using signals from across the journey. Batch customer data platforms (CDPs) can't do this. They can't capture intent as it forms, can't hold session state, and can't activate inside the intent window.

The EU AI Act's general provisions are already in force, and high-risk AI system obligations apply from August 2026. The National Institute of Standards and Technology (NIST) AI Risk Management Framework and its Generative AI Profile set the baseline for what auditors expect, framing governance around four functions: identify, measure, manage, and monitor. Deploying artificial intelligence (AI) agents in regulated environments isn't a sandbox experiment anymore. It's a strict governance challenge.

May 28, 2026Read Time: 8 min May 28, 2026Read Time: 8 min For most go-to-market (GTM) teams, understanding what’s really happening with a customer right now is harder than it should be. Usage data lives in one system, renewals in another, support escalations somewhere else—and field notes are scattered across tools and docs. By the time someone pieces together a full picture, it’s already out of date.

People often imagine that to provide a cloud service for a piece of open source software is a simple matter of packaging up the open source and putting it in Kubernetes. We knew when we set out to build Confluent Cloud that a true cloud-native offering of Apache Kafka® as a service would be much, much more than that.

To win in today’s digital-first world, businesses must deliver exceptional customer experiences and data-driven, backend operations. This requires the ability to react, respond, and adapt to a continuous, ever-changing flow of data from across an organization in real time. However, for many companies, much of that data still sits at rest in silos across their organizations.