Confluent is the real-time “data in motion” control plane for enterprise AI—now effectively priced off IBM’s $31 cash bid, with long-term upside tied to Flink and agentic AI adoption.
Overview
Confluent (CFLT) is positioned as the leading commercial force in data streaming—turning the open-source Kafka ecosystem into an enterprise-grade, cloud-native “Data Streaming Platform” that enables real-time applications and operational intelligence. Founded by Kafka’s creators (Jay Kreps, Neha Narkhede, Jun Rao), Confluent’s value proposition is to eliminate the operational burden of running Kafka and related streaming infrastructure (“Kafka tax”), letting enterprises build latency-sensitive use cases like fraud detection, personalization, and autonomous supply chain decisions. The business has largely transitioned to a SaaS profile: in FY2025, ~96% of revenue was subscription-based ($1.12B of $1.17B), split between Confluent Cloud (managed, multi-cloud, consumption-based) and Confluent Platform (self-managed for regulated/hybrid environments). Scale and enterprise penetration are expanding (6,690 customers; 1,521 with >$100k ARR, +10% YoY), with a notable growth engine emerging in Apache Flink stream processing (reported >70% sequential ARR growth late 2025). Financially, FY2025 marked an inflection: revenue +21%, meaningful non-GAAP operating profitability ($86.1M), and sharply higher adjusted free cash flow ($76.0M), though GAAP losses persist due to large SBC. The defining near-term event is the announced IBM acquisition (Dec 7, 2025): $31/share all-cash, ~$11B, expected to close mid-2026, intended to combine Confluent’s real-time streaming layer with IBM’s hybrid cloud and AI ambitions—especially “agentic AI” workloads that require live business context.