Confluent's connectors help you easily integrate data, leverage real-time data flow, and set data in motion to build modern, cloud-based, event-driven applications.

Explore enterprise RAG and GenAI architectures for regulated and public sectors, with real-time data streaming, governance, and compliance built in.

Learn how digital-native companies build enterprise knowledge management systems using RAG and real-time data streaming to power accurate, scalable AI assistants.

Design autonomous, agentic event-driven systems using real-time data streaming to enable closed-loop AI decisioning, orchestration, and scalable automation.

Design an agentic fleet management architecture using real-time data streaming to optimize routing, maintenance, and autonomous decision-making at scale.

Enforce encryption & governance centrally with Confluent Private Cloud. Reduce brokers by 73% and secure legacy Kafka clients without code changes or sprawl.

Connect your AI coding assistant to Confluent with MCP servers and Agent Skills. Direct platform access and domain expertise for streaming, now generally available.

Explore Confluent Cloud’s Q2 2026 release, including dbt adapter, Materialized Tables for Flink, Confluent Intelligence releases, and more.

Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.

InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state. At its core is Confluent.

Digital sovereignty in streaming demands architectural guarantees, not policy promises. How BYOC, schema controls, and open protocols satisfy global regulations.

This blog covers the latest updates to Kafka observability features in Confluent Cloud, including new metrics to understand consumer groups and elastic clusters

Discover how Tableflow is helping you feed your data lake with real-time, analytics-ready tables for 30-50% lower cost

Learn how to design governance directly into event streaming systems. Covers schemas, lineage, security, retention, and compliance patterns for reliable data platforms.

Compare three AI inference patterns for Apache Kafka: external RPC, embedded, and sidecar. Avoid consumer rebalances, cut costs, and scale LLM pipelines safely.

Real-time data for AI needs stream processing, not batch ETL. Learn how Kafka + Flink deliver fresh context, better features, and trust—read now.

How To Process Unstructured Documents and Images in Real Time With Event-Driven Streaming Pipelines

Stream processing vs. real-time OLAP: learn key differences, when to pre-compute vs query-time, and build scalable real-time stacks with Kafka and Flink. Read now.

Use Confluent’s Kafka Copy Paste (KCP) integration with Gateway to simplify Kafka client migration and reduce your client migration time from weeks to hours.

Confluent Platform 8.2, built on Apache Kafka 4.2, delivers GA Queues for Kafka and Flink SQL, plus updates to Confluent Private Cloud Gateway, Unified Stream Manager, CFK, and Ansible.

Discover how Agent Taskflow avoided self-managed Kafka and built a production-grade AI orchestration platform with Confluent and AWS

Legacy SIEM stacks can’t scale for AI-driven threats. See how open table formats and real-time data streaming create a decoupled security data supply chain.

Batch ELT pipelines create duplication, cost spikes, and governance gaps as data scales. Here’s why enterprises are rethinking legacy integration models.

Add your first ML model to a real-time streaming pipeline. Learn a simple, low-risk pattern for inference, scoring, and deployment with Apache Kafka®.

Confluent Cloud for Government is now FedRAMP Moderate authorized—enabling agencies to securely modernize data streaming with cloud-native Kafka.

Schema IDs in Kafka headers make it easier to adopt Schema Registry, govern event streams, and migrate without breaking existing producers or consumers.

Design energy-efficient, low-cost streaming systems. Learn GreenOps patterns to reduce compute waste, optimize storage, and lower the carbon footprint of real-time data.

Learn how Confluent Cloud is preparing for post-quantum cryptography with TLS 1.3, hybrid key exchange, and alignment with NIST FIPS 203–205 standards.

Kafka now supports native queue semantics with share groups and per-message acknowledgment. Learn how elastic consumers scale beyond partitions in Confluent.

Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.