The World's Data Streaming Platform

Mountain View, CA
Observability is becoming a data streaming challenge. As telemetry scales and operational data becomes more valuable, the problem lies in how teams collect, move, process, and reuse data that data scale. Learn how to tackle it in our upcoming webinar: ibm.co/6010EThSs
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Hands-on coding, expert-led sessions, and a free certification, all in one morning! Join us on September 22 to build real-time AI agents with Apache Kafka and Apache Flink, and get certified. Register now: events.confluent.io/ai-devel…
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The right data, in the right place, ready for the right moment. You’ve seen @visacashapprb shave milliseconds off each practice lap. Here’s how we help them do it. #ItalyGP #F1 #VCARB #Confluent
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Batch reports only tell models what has already happened. AI agents need data that moves as fast as they do. Learn how to power agentic projects with real-time data: ibm.co/6011ErswN
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AI day is finally coming to NYC! Build real-time AI agents with us on September 3rd. Join us to learn from AI experts, network, build your own AI app, and win over $5,000 in prizes: ibm.co/6014ErHrq
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Stop splitting operational apps and AI pipelines across separate systems. Express stateful business logic directly in code, keep data lakes fresh, and serve real-time context directly to AI models, all in Confluent Cloud for Apache Flink: confluent.io/blog/flink-miss…
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AI agents fail when they reason over stale data. This week's Confluent Intelligence and AI tools launch fixes this gap by streaming fresh context straight to your models. See it in action below and learn more on our blog: confluent.io/blog/2026-q3-co…
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If it’s felt hard to keep up with everything launching on Confluent Cloud lately, that’s because it has been! With 70+ features shipped in the last few months, we’re expanding what the data streaming platform can do across every pillar. Here’s how the platform has evolved. 🧵
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For low-latency diskless streaming, WarpStream drops median produce times by 70% down to 33ms using Lightning Topics, backed by Ripcord Mode to keep writes alive even when control planes drop.
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All of this streams directly into real-time AI, giving agents immediate access to current business state without running a separate operational database. Read the full launch blog: confluent.io/blog/2026-q3-co…
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Good news: Registration for #Current26 San Francisco is officially open! Great news: Your pass is on us this year! 📆 Get your complimentary pass, mark your calendar for November 4-5, and join us at the biggest event in data streaming: current.confluent.io/san-fra…
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Confluent, an IBM Company retweeted
After almost 12 years, I’ll be stepping back from my role at @confluentinc and handing over the reins to our Chief Product Officer @ShaunMClowes. Confluent was founded to change how companies use data, and against all odds, it has. And we’re not done! There is an ambitious roadmap for what’s next and I’ll watch from the sidelines with a lot of pride and a little FOMO as the team achieves that. I couldn’t be more grateful to all the customers who have built with us, investors who bet on us, and most of all to all the people who joined to do the hard work of making Confluent what it is. Thank you!
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Don't stop at learning about real-time pipelines. Build one and walk away with production-ready skills. Join us + learn how to: 🔵 Spin up an Apache Kafka cluster 🔵 Manage formats with Schema Registry 🔵 Clean + enrich event streams with Flink SQL → events.confluent.io/q3-strea…
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What if your engineers only had to think about producing an event and executing when one comes in? That's the reality at @helloextend, the AI-native commerce platform unifying delivery, returns, exchanges, and warranty claims. In this episode of Life Is But A Stream, Jonathan Kropp joins @thedatagiant to share how Extend built a 100% serverless platform with Apache Kafka® on Confluent Cloud as its central nervous system. The results? ↪ An immutable, replayable event log tracking fraud signals ↪ Schema enforcement that stabilized services across the platform ↪ Technology spend traceable to every revenue-generating event This is what making great bets on your data foundation looks like. Tune in: cnfl.io/3ScHGYz
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Managing Flink SQL operations, monitoring, migrations, and governance in separate workflows creates a ton of friction for platform teams. Confluent Platform 8.3 fixes that. Built on Apache Kafka 4.3, this release lets you scale data in motion with complete control. 🧵👇
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Migrations to KRaft just got easier. Scale KRaft controller quorums on dynamic clusters without restarting brokers or controllers. Unified Stream Manager also offers expanded monitoring, including client-side monitoring and Kafka Streams UI to troubleshoot applications faster.
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Migrate easily from schemaless or custom formats to Schema Registry with Schema IDs in Kafka headers. Enforce data quality, schema validation, and encryption centrally at the Gateway with zero client changes. Learn more: confluent.io/blog/introducin…
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