New Confluent Cloud for Apache Flink® capabilities simplify real-time AI development
Flink Native Inference seamlessly runs AI models directly in Confluent Cloud for streamlined development.
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Modern Software Development For Today's Systems & Applications
Confluent announces the General Availability of Tableflow
Tableflow brings real-time business context to analytical systems to make AI and next-generation applications enterprise-ready.
New with Confluent Platform 7.9: Oracle XStream CDC Connector, Client-Side Field Level Encryption (EA), Confluent for VS Code, and More
At Confluent, we’re committed to building the world's leading data streaming platform, which gives you the ability to stream, connect, process, and govern all of your data, and make it available wherever it’s needed—however it’s needed—in real time. Today, we're excited to announce the release of Confluent Platform 7.9! This release builds upon Apache Kafka 3.9, reinforcing our core capabilities as a data streaming platform.
New in Confluent Cloud: Tableflow, Freight Clusters, Apache Flink AI Enhancements, and More
Our Q1 Confluent Cloud launch comes to you from Current Bengaluru, where data streaming industry experts have gathered to showcase how real-time streaming with Apache Kafka, Apache Flink, and Apache Iceberg is enabling generative artificial intelligence (AI) use cases and helping their organizations take innovation to the next level.
The Confluent Q1 '25 Launch
The Confluent Q1 ’25 Launch includes Freight clusters and Tableflow, the features needed to make streaming data cheaper and feeding your data lake easier. We’re also introducing AI tools for Apache Flink, VS Code Extension, a new premium Oracle CDC Connector, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.
Tableflow: Represent Kafka topics as Apache Iceberg or Delta Lake tables in a few clicks
Tableflow represents Kafka topics and associate schemas as open-table formats such as Apache Iceberg(Generally Available) or Delta Lake (Early Access) in a few clicks to feed any data lake, warehouse, or analytics engine. It removes the need for complex, costly and error-prone data pipelines that are currently being used to feed streaming data to data lakes while delivering strong read performance and automated data maintenance. Customers can also bring their own storage ensuring flexibility, cost savings, and security.
Introducing Apache Kafka 4.0
We are proud to announce the release of Apache Kafka 4.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes.
How to Secure HIPPA-Sensitive Data with Smart Architecture
Chris Kapp of Henry Schein One shares how his team is securing HIPAA data through a smart naming strategy, internal governance, and tight control over tagging and access.
Ep 4 - From Legacy to Cutting-Edge: Henry Schein One's Data Streaming Vision
Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming. In this episode, Chris Kapp, Software Architect at Henry Schein One (HS1), shares how his team modernizes data management to stay competitive and unlock real-time insights. You’ll learn about: Get ready to future-proof your data strategy with this must-listen episode for technology leaders facing scalability, governance, or integration challenges.
Real-Time Toxicity Detection in Games: Balancing Moderation and Player Experience
Toxic player behavior will drive players away from an otherwise successful game. While friendly banter and trash talk can build camaraderie, context matters—as what’s okay among longtime friends might be harassment to a stranger. How can studios create a positive atmosphere for all while still allowing friends to have a little fun at each other’s expense?