Tired of Apache Kafka client parity drift?
Our native Rust Client is now generally available and it’s aligned with the Java client.
Same configs, same rebalance semantics, and no system library install needed.
See how it works: https://t.co/Us6biUMm1H
.@confluentinc says it can now answer live business questions directly from its platform - removing the need for customers to bolt on on an extra database. @Derek_duPreez breaks down the benefits and what this means for buyers: https://t.co/BapsWGGbgm
The lakehouse explains what happened. Streamhouse powers what happens next.
Compare the two and learn how a Streamhouse:
↳ Maintains a view of business state as it changes
↳ Puts live data on the operational critical path of production systems
↳ Serves agents, apps, and lakehouses with the same fresh, governed source of truth
See how it works: https://t.co/o73gLJatMX
Spend less time troubleshooting pipeline breaks and painful cluster migrations and more time building your Streamhouse.
Check out the new updates that make Confluent Cloud and Confluent Cloud simpler to build on, simpler to run and more cost-effective: https://t.co/ZwiXDGm0xU
Today, @confluentinc introduced Streamhouse, a new data architecture to power decisions in the AI era.
Learn how the new capabilities give AI agents, apps and lakehouses one continuously current, governed view of the business: https://t.co/Bg1Yoq9tcM
Apache Kafka® 4.4 is here!
Watch @SandonJacobs break down the highlights in the video below and get the full details on our blog: https://t.co/STpVZVbS2u
Apache Kafka migrations don't have to mean guesswork.
Join our webinar with Psyncopate on Nov 10 at 10 AM PT for a live demo on de-risking your migration from planning to cutover & rollback.
Save your seat: https://t.co/8haPeAlW4P
Thanks for joining me at @IBM#ibmtechxchange today to talk #terraform and @confluentinc cloud. As promised, here are the slides. I'll post the code examples in a bit.
https://t.co/810ou4sZfb
What happens when you cut data streaming operational toil? This new @forrester Consulting study found a composite team reclaimed seven full-time engineers of capacity and hit a 137% ROI with our platform.
Read it here: https://t.co/J3B76dip8S
The future of intelligent systems starts with real-time data.
Join our opeing keynote with @indeed, @Accenture, + @togethercompute to discover how the Streamhouse powers AI agents, apps, + lakehouses.
Get your free pass to #Current26 and see what's next: https://t.co/RtWrRxFetK
Only 32% of orgs are using agentic AI in production.
The roadblock? Stale data.
Historical data isn't enough. AI agents need real-time, governed context to take action.
Learn about the missing layer in your AI architecture on the @IBM blog: https://t.co/H649EDB4qQ
In just a few short weeks, we’re bringing together developers, data engineers, and AI practitioners to be the first to learn the latest trends, discover exciting innovations, and even become certified Data Streaming Engineers.
@ABridgwater shares what you can expect at #Current26 San Francisco in @ComputerWeekly: https://t.co/IrWib1cAtB