Redpanda Data

🚀 REDPANDA Q1 HIGHLIGHTS We wrapped up Q1 filled with new product innovations, exciting partnerships, and record growth. 💥 In case you missed it, we rounded up the best highlights from this quarter, including: 📈 New ARR up 70% year-over-year 🎉 Launched the industry's first adaptable #streaming engine 🏆 Named one of the "Top 120 Agentic AI Companies" 🏢 Opened new offices in San Francisco and Austin Our pandas have been busy. But we're just getting started. 🤘 Read more: redpanda.com/press/record-q…

Real-time data isn't optional anymore. But building for it well? That's where most teams stumble. 😯 Next Tuesday, Redpanda CMO Melissa Czapiga sits down with Tyler Hannan from @ClickHouseDB to dig into what actually separates the teams that nail it from the teams that just talk about it. If your team is wrestling with real-time data, this one's for you! redpanda.com/events/data-ai…

📉 AI agents can't make good decisions on stale data. Live events happen in your streaming systems, but by the time they land in your data warehouse, critical minutes or hours have passed. Redpanda SQL closes the gap, allowing your agents to query live streams and historical data with one SQL statement. 💪 Ready to build better agents? redpanda.com/resources/real…

AI models are powerful tools. But they aren't perfect. The issue is that nobody built the infrastructure to make imperfect agents safe to deploy, which raises the question: can you trust them with your most critical data❓ Our latest blog breaks down the four key pillars your governance framework needs to establish that vital trust. ➡️ Check it out here: redpanda.com/blog/ai-agent-… #AIagents #AIgovernance

🤔 Gut check: if an AI agent in your org did something wrong, could you say which one, what it touched, what it cost, and which human actually asked for it? For most companies, the honest answer is no. Most enterprise infrastructure was built to govern users and services, not autonomous agents. A credible Agentic Data Plane can help close that gap. → Learn more about the governance layer your AI infrastructure is missing in our full breakdown: redpanda.com/blog/what-is-a…

Your Tuesdays are about to level up.✨ Every week, Redpanda's CTO Tyler Akidau tackles the topics engineers and leaders want to hear about. From hard lessons to tactical advice, these conversations are a must-see to get your week off on the right foot. 30 minutes and live Q&A where you ask anything on your mind. 👉 Register now: redpanda.com/events/data-ai…

Everything that already happened is deterministic. That's what makes durable execution so powerful for debugging #agentic systems. @jedberg at @DBOS_Inc explains why replaying the exact #LLM output you already got — rather than calling the model again and getting a different answer — gives you a clean, reproducible environment for testing fixes in non-deterministic workflows. Don't miss the latest episode of “Hello, Agent!” ⤵️ redpanda.com/hello-agent/du…

Redpanda Connect now has a native oracledb_cdc input so you can get data from Oracle into @ClickHouseDB the easy way. No Debezium, no Kafka Connect runtime, no JVM. Check this tutorial by our very own Prakhar Garg on how to use it. 👇 redpanda.com/blog/stream-or…

Batch ETL is the villain in every data team's story. Entain, one of the world's largest sports betting and gaming companies, needed real-time financial, operational, and regulatory reporting flowing into #Snowflake, without the weight of thousands of lines of custom #Kafka Connect code holding them back. So they switched to Redpanda. 🔥 2x faster streaming compared to Kafka Connect 😍 28,000 lines of ingestion code eliminated 🚀 Clean shift from batch ETL to live analytics and ML. Their data now lands in Snowflake low-latency and query-ready, so decisions happen on current data, not yesterday's. Watch how they did it: intelligence.theregister.com/paper/view/183…

Guardrails without observability are just rules with no enforcement. @jedberg at @DBOS_Inc argues that in agentic systems, observability is what makes guardrails real — you can only tell the agent what it can and can't do if you can actually see what it's doing at every step. Watch the latest episode of “Hello, Agent!” 🎧 redpanda.com/hello-agent/du…

We've already shared how Redpanda Cloud Topics reimagines the #Kafka write and read paths for #cloudnative streaming. Well, today we're revealing how our savvy engineers redesigned compaction for Cloud Topics to cut redundant work, lower CPU usage, and reduce storage costs. ✌️ Read the blog: redpanda.com/blog/how-redpa…

@temporalio happy hour here in SF! @redpandadata, @HeyGen, @mercor_ai, @getserval, Native Link and moderated by our very own Cornelia Davis

Four developer advocates came together from Temporal, @neo4j, @auth0, and @redpandadata for a meetup and built an open-source AI agent that shines in production. Read about it: temporal.io/blog/diving-in…

📬 REDPANDA NEWSLETTER 🎵 We're walking on sunshine ...and don't it feel good! 😎 We're in full summer mode here at Redpanda with red-hot launches, sizzling benchmarks, and freshly-squeezed tutorials to help you stay ahead of the game. From partnering with NVIDIA and fixing #Kafka bugs, to helping enterprises govern agentic AI at scale, this month's newsletter is a must-read for anyone #streaming and building for agents. So grab an icy lemonade and bask in our latest updates 👇 linkedin.com/pulse/redpanda…

Super proud of the team to chase this gnarly bug and come up with a new algorithm for Coordinated Compaction. It fixes 4 big upstream Kafka problems that have existed for a long time. redpanda.com/blog/kafka-log… 1. deleting data reapearing 2. aborted data served as committed 3. stuck partitions 4. committed data hidden #kafka #redpanda

We found a bug in #Kafka's log compaction. 🪲 👀 Here's how we fixed it in Redpanda Streaming👇 redpanda.com/blog/kafka-log…