Confluent

Wix Customer of Confluent quote card with headshot image

From self-managed Apache Kafka® headaches to hyper-personalization at scale. Learn how Wix built a real-time data engine with Confluent to deliver real-time analytics and AI-powered hyper-personalization to 100M+ websites. Read the story here ➡️ cnfl.io/4lTZ8Lh

Our Q2 financial results are in. ➡️ cnfl.io/3H7Ed8e
🔹Subscription revenue grew 21% YoY
🔹Flink ARR is up ~3x over the past two quarters
These results reinforce our complete data streaming platform strategy and our strong positioning for a future shaped by agentic, real-time AI.

Data Engineering in the Age of AI: Skills To Master Now A look at the critical capabilities data engineers must develop to stay relevant and valuable, as well as practical ways to sharpen those skills.

You might already be skilled in ETL scheduling, analytics queries, or machine learning integration—but are you ready to support AI agents?

In her 🆕 article in @thenewstack.io, @adipolak.bsky.social dives into the skills data engineers need in the age of AI! ⤵️

How Flix optimizes global travel: Leveraging Confluent on @awscloud.bsky.social, they've accelerated features (4-6x faster), freed 60% of engineering time, & cut service requests by 80%! Full story here: cnfl.io/3IyWHir

Shift your data strategy into high gear with the Data Streaming Grand Prix 🏁

This 5-day interactive event puts you behind the wheel of data streaming with guided tracks, hands-on demos, live workshops, and more!

Register now: cnfl.io/417h4JJ

Streaming ETL Pipelines With Flink® SQL and Apache Iceberg™ Build streaming ETL pipelines with Confluent Cloud using Flink® SQL to transform data and Tableflow to create Iceberg tables for analysis.

Stop dumping raw data into your data lake and processing it later 🛑
In this demo, @rmoff.net shows us how to build streaming ETL pipelines with Confluent Cloud using Flink® SQL to transform data and Tableflow to create Iceberg tables for analysis. Check it out now ➡️ cnfl.io/3THZeZX

Data Exploration with Tableflow, Apache Iceberg, and Trino This blog post demonstrates how to use Tableflow to easily transform Kafka topics into queryable Iceberg tables using UK Environment Agency sensor data as a data source.

Building a streaming data pipeline? Step one: make sense of the data you’re working with.
@rmoff.net walks through how to explore and validate messy real-world data from #ApacheKafka in #ApacheIceberg using Tableflow. Read it now 👉 cnfl.io/4jrtjrD

Introducing the Snowflake Source Connector for Confluent Cloud! 🎉

This new, fully managed connector is here to bridge the gap between your data warehouse and operational systems, and you can learn all about it on our blog: cnfl.io/4eMLnLw

New to Kafka? Or just prefer a visual interface over the CLI?
The Confluent Cloud Console offers a powerful, web-based way to explore your clusters, inspect messages, and validate client compatibility, all without writing a line of code.
Catch the latest feature roundup in our blog → cnfl.io/3TgALur

Exciting news: Confluent Platform 8.0 is here!

👋 Say bye to ZooKeeper, simplify your Apache Kafka architecture, and unlock massive scalability with KRaft
🛡️ Protect your most sensitive data with Client-Side Field Level Encryption (Generally Available)

Learn more: www.confluent.io/blog/introdu...

Want to build an AI-powered personalization engine?
This blog walks you through it-> cnfl.io/4l7QAj6
➡️ Set up your infra with Terraform
➡️ Ingest real-time data from Oracle + Kafka
➡️ Enrich streams with Flink
➡️ Auto-sync to Delta Lake with Tableflow
➡️ Launch GenAI-powered campaigns in Databricks

Lay down! Roll over!
Bridge the operational and analytical divide! 🐕

#DataAISummit

ICYMI: Tableflow now supports Delta Lake (open preview) and is gearing up to integrate with Databricks Unity Catalog later this month! 🎉

We met up with Kasun to break down the announcement at #DataAISummit. ⤵

Want to know more?
Head to our blog: cnfl.io/4jWBBYk

Meet the easiest way to power real-time AI from your lakehouse.
Tableflow now supports Delta Lake (open preview) and is gearing up to integrate with @databricks.bsky.social Unity Catalog (coming end of June)!
Get the details in our blog -> cnfl.io/4l3zByj

From Lakebase to Databricks Free Edition, @adipolak.bsky.social breaks down today's #DataAISummit keynote announcements from the perspective of a Data Streaming Engineer! ⤵

🏀 @thedatagiant.bsky.social is warming up for Game 3 tonight!

He won't be playing or anything, but he *will* be drawing plenty of parallels between three-pointers and data streaming.

#DataAISummit

Lakeflow Connect: Eliminating Hops in Your Streaming Architecture | Databricks In this session, we’ll introduce the {Row Level API}, which enables you to push data directly to your lakehouse and simplify ingestion for IOT, clickstreams, telemetry, and more. We’ll start with an o...

Want to hear more from Victoria? Don't miss her session, Lakeflow Connect: Eliminating Hops in Your Streaming Architecture! Add it to your gameplan for tomorrow.
👉 cnfl.io/4mWSeWr

After catching her session with Kasun yesterday, we knew we had to meet up with Victoria Bukta from Databricks to get her thoughts on the strategic partnership we announced earlier this year and the possibilities it unlocks for our users!

Data Synchronization Fuels Hybrid Workloads and AI Success Data synchronization provides maximum flexibility by ensuring that data remains consistent across all locations and as business needs evolve.

Data synchronization provides maximum flexibility by ensuring that data remains consistent across all locations and as business needs evolve.

Just touched down at #DataAISummit 🚁

Tune in throughout the day for keynote reactions, partner talks, session recaps, and more! ⤵️

Designing Event-Driven, Multi-Agent AI Architectures w/Kafka and Flink Learn how to build an event-driven architecture that coordinates a team of four family-meal-planning agents, and leverages LangChain, Anthropic's Claude, Kafka, and Flink.

Feeling inspired? Check out this blog Sean wrote on automating meal planning with AI: cnfl.io/4e7JNDB

Our first goals when using AI often involve making our work lives more efficient. But what about our personal lives? Could AI help free up more time for the things that we really want to do?

That's what Sean Falconer explored in his sold-out #DataAISummit session today! ⤵️

We met up with Kasun to chat about his session with Victoria Bukta from Databricks happening later today at #DataAISummit!

Add it to your schedule and get ready to learn how you can build analytics- and AI-ready tables with Tableflow and Unity Catalogue: cnfl.io/3ToGeiF

👉 Streaming Meets Governance: Building AI-Ready Tables With Confluent Tableflow and Unity Catalog
🎤 Kasun Indrasiri Gamage, Victoria Bukta (@databricks.bsky.social)
⌚️ 4:10 pm

👉 No Time for the Dad Bod: Automating Life with AI and Databricks
🎤 Sean Falconer
⌚️ 4:30 pm

Time to kick things off at #DataAISummit!

Come see us at booth 525 when the expo hall opens and add our sessions to your gameplan! Here's today's line-up 🧵 ⤵️

We're on-site at #DataAISummit!
🔵 + 🟧

@thedatagiant.bsky.social is back as your correspondent to dive into all the ways Confluent + @databricks.bsky.social can fuel AI with historical data and real-time insights.

Are you on-site with us?
Come hang out at booth 525 or catch one of our sessions!

What if your AI didn’t just respond, but acted?
@tlberglund.bsky.social explains how the Model Context Protocol (MCP) could help AI take real action, not just give answers. Find out how -> www.geeky-gadgets.com/model-contex...

What if you could just ask your Kafka topic a question and get the answer in plain language?
See how AI tools like Cursor + MCP make it possible with Confluent Cloud.
📖 Read the blog -> cnfl.io/43rXWb2

Working on a tough data challenge? Built something new with Kafka, Flink, Iceberg or AI?
#Current25 New Orleans is the place to share it.
🤔 Bring your expertise.
🎤 We’ll bring the mic (and maybe some beignets).
👉 Submit your talk by June 15 → cnfl.io/4md079C

Building AI agents? 🤖
You might actually be building microservices.

@adipolak.bsky.social is back at the lightboard to explain what an AI agent is, what a modern AI system looks like, and how to architect that system for production using event-driven microservices! → cnfl.io/4kHMaiG