Confluent Blog

Accelerate enterprise streaming and AI workloads with new product updates across Kora, connectors, Flink, Tableflow, AI anomaly detection and forecasting, security enhancements, and WarpStream.

Flink now acts as a robust engine for developers through Table API, User-Defined Functions (UDFs), and Process Table Functions (PTFs) while offering a SQL-native, dbt-integrated platform for data science and AI teams.

Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot

Every one of the 42.1 million production events flowed through Confluent’s Data Streaming Platform and that single decision is what let a small team serve a global tournament without the commentary ever falling out of sync.

Confluent Platform (CP) 8.3.0, built on Apache Kafka® 4.3.0, helps platform teams simplify Apache Flink® SQL operations, migrate their streaming infrastructure with ease, maintain unified visibility while reinforcing security and governance.

Confluent for Startups has named Berlin-based Upvest its 2026 EMEA Data Streaming Startup of the Year. Learn how Upvest uses Confluent to power real-time embedded investing, meet stringent regulatory requirements, and scale modern fintech infrastructure for leading financial institutions.

Learn how Confluent Tableflow turns Kafka topics into Iceberg tables for zero-ETL analytics with automatic schema evolution and open catalog access.

Explore how SASL PLAIN and SCRAM work in Kafka, the role of Login Modules in authentication, and how ConfigProvider enables secure, hot-reload of credentials without downtime.

Traditional governance tools fail to protect data in motion as companies shift to real-time streaming. Confluent’s Stream Governance suite solves this by providing specialized tracking, schema enforcement, and advanced encryption. This embeds security and compliance directly into the live data flow.

Financial institutions must process fraud detection in real time without sacrificing security or uptime. Confluent Cloud leverages Kafka and Flink to deliver a secure, compliant, and highly resilient data streaming platform that stops fraud in-flight while meeting strict financial regulations.

Batch CDPs can't capture user intent as it forms. By the time a nightly sync runs, the moment is gone. This guide covers the streaming architecture behind real-time personalization, from sub-100ms ad bidding to cross-channel orchestration, with recommendation patterns built on Kafka and Flink.

Separate batch and streaming pipelines for ML features cause training-serving skew. DoorDash measured a 35.7% feature mismatch in their dual setup. This guide covers a unified kappa architecture using Flink to compute features once for both training and serving, plus a 2026 tooling comparison.

The dbt-confluent adapter brings dbt's familiar development workflow to Confluent Cloud for Apache Flink, enabling data engineers to build, test, and deploy streaming SQL pipelines with the tools they already know.