The real-time data streaming platform that makes AI run on live data — not data that is hours old. Built on Apache Kafka and acquired by IBM in March 2026 for $11 billion, Confluent is the connective fabric that gives every AI model, agent, and automated workflow the continuously flowing, trusted data it needs to act on what is happening right now.
IBM completed its $11 billion acquisition of Confluent in March 2026, making it the largest acquisition in IBM's history. The strategic rationale is clear: approximately 80% of enterprises rely on stale data for decision-making — data that is hours or even days old. AI models and agents can only act intelligently on what they know right now, not on yesterday's snapshot.
Confluent solves this. Built on Apache Kafka — the open-source standard for data streaming trusted by more than 6,500 enterprises including 40% of the Fortune 500 — Confluent connects, processes, and governs data in motion across every system in the enterprise, feeding it directly into watsonx AI workflows in real time.
Traditional databases store data at rest — useful for history, but too slow for AI. Confluent streams data as it is generated — transactions, application events, sensor readings, customer interactions — continuously, reliably, and at enterprise scale.
Confluent is the enterprise distribution of Apache Kafka — the open-source event streaming platform used by the world's largest organisations. IBM is committed to the open-source Apache Kafka community, ensuring long-term investment and innovation in the standard.
Confluent operates as a neutral platform across AWS, Azure, GCP, and on-premises IBM environments — including IBM Z. It is the connective layer between all of an organisation's systems, regardless of where they run or which cloud they're on.
Stream millions of events per second from any source — transactions, application logs, IoT sensors, user interactions — to any destination. Confluent's Kora engine delivers the throughput, latency, and reliability demanded by the world's largest enterprises.
Connect Confluent to every system in your enterprise — ERPs, databases, cloud services, SaaS applications, and data warehouses — with pre-built, fully managed connectors. No custom integration code required, no data silos left behind.
Discover, understand, and govern all streaming data with Schema Registry, Data Catalogue, and data quality rules — ensuring that every event flowing into AI systems is accurate, compliant, and trustworthy. Essential for regulated industries.
Filter, enrich, aggregate, and transform data streams in real time using Flink-powered stream processing — before it reaches your AI models, dashboards, or downstream systems. Turn raw events into meaningful, AI-ready signals at the point of generation.
Confluent Intelligence brings AI directly into the streaming platform — powering Streaming Agents that can automatically detect anomalies, classify events, and trigger AI-driven responses as data flows through. Feeds directly into watsonx Orchestrate agent pipelines.
The most critical business transactions in the world run on IBM Z. Confluent connects IBM Z mainframe systems to the modern event-driven enterprise — streaming transactional events from Z into real-time analytics, AI workflows, and hybrid cloud applications without disrupting core operations.
The Confluent acquisition completes IBM's real-time data platform. Where watsonx.data manages data at rest and DataStax handles unstructured vector data, Confluent provides the streaming backbone — data in motion — giving AI models and agents the live context they need to act decisively.
Mine site operations generate vast streams of events — equipment telemetry, safety alerts, production throughput, haul cycle data. Confluent streams these events in real time to AI systems and dashboards, enabling instant response to equipment anomalies and safety incidents before they escalate.
Energy markets move in seconds. Confluent streams grid events, spot price signals, renewable generation data, and consumption patterns in real time — enabling AI-powered trading decisions, dynamic pricing, and grid balancing that reacts to what is happening now, not an hour ago.
Government agencies processing citizen transactions, benefit payments, and compliance events can use Confluent to stream events securely between systems — on-premises or in private cloud — ensuring AI-assisted service delivery responds to citizen needs in real time with a full audit trail.
IBM MQ and webMethods Hybrid Integration form the foundation of enterprise event-driven automation — combining trusted transactional messaging with modern integration and orchestration across hybrid environments. Confluent extends this with high-scale event streaming, enabling applications, APIs, and AI agents to sense and act on business events in real time while maintaining the reliability and governance that mission-critical systems require.
As an IBM Gold Partner, Solution Minds can help you evaluate, architect, and deploy IBM Confluent — and integrate it with your existing IBM watsonx, DataStax, and data platform investments. Talk to us about a real-time data streaming assessment.