Confluent, an IBM Company

The real-time platform to stream, connect, process and govern your data, designed by the original co-creators of Apache Kafka®—now part of IBM.

A data streaming platform for accelerating enterprise AI

Together, IBM and Confluent are advancing the data foundation for event-driven applications, analytics and AI. This collaboration merges the Confluent industry-leading streaming platform with the IBM hybrid cloud, data and AI capabilities—providing an enterprise-ready backbone for converting data into value at scale.
Business impact
Power real-time AI

Move from experimentation to production with real-time, contextual data that boosts performance and accuracy.

 See 14x predictive performance at GEP
Accelerate time-to-market

Deliver new products and initiatives to market faster, built on top of governed, reusable, real-time data.

 See how Notion powers 100M+ users daily
Reduce infrastructure costs

Unify point-to-point, batch and streaming pipelines into one future-proof platform that does it all for less.

 See how SAS saved 69%
Webinar | Powering agentic AI with trusted real-time data
IBM and Confluent experts discuss how organizations can combine real-time data in motion with enterprise-grade governance and resilience.
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Capabilities of the data streaming platform

Cloud-native scalability

Deliver unparalleled reliability with the Confluent Cloud 99.99% uptime SLA, handling GBps+ workloads while scaling instantly.

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120+ native integrations

Seamlessly connect legacy databases and modern cloud services with prebuilt Kafka connectors across your entire ecosystem.

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Stream-native governance suite

Ensure your applications act on trusted, secure and compliant data through built-in governance and quality tools.

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Advanced stream processing

Process and transform data in real time at scale with the Confluent managed Apache Flink® service, enabling low-latency analytics, cloud-native applications and responsive AI.

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Stream-to-table automation

Turn data streams into open tables for your data lake with Tableflow. Cut compute costs by up to 50% and boost the freshness of your analytics data in just a few clicks.

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Streaming service for context-rich AI

Build real-time, replayable AI systems that learn from historical data, process new information instantly and serve live decisions in production.

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Use cases
AI-ready, real-time data

Ensure every model, agent and workflow runs on continuously updated enterprise data with lineage, policy enforcement and quality controls.
Event-driven automation

Combine trusted transactional messaging with modern integration and orchestration across hybrid environments.
Activate the modernized mainframe

Identify and drive real-time events at the transaction source and stream transactional data for real-time analytics, automation and AI.
Better together Confluent + IBM watsonx.data®

Unify real-time event streams with structured and unstructured enterprise data to deliver trusted, AI-ready data across your hybrid enterprise.

  • Combine data in motion with enterprise data at rest in an open hybrid data foundation
  • Add metadata, lineage and policy-driven context to make data trusted, reusable and AI-ready
  • Deliver governed data products to applications, analytics and AI agents across the enterprise
 Confluent + IBM Integration

Unify event streaming and enterprise integration to connect applications, data and systems across hybrid environments.

  • Stream and integrate events across fragmented integration architectures with a scalable event-driven backbone
  • Unlock comprehensive integration patterns across event streaming, APIs, B2B/EDI, iPaaS and IBM MQ
  • Accelerate automation and business responsiveness with real-time data flows
 Confluent + IBM Z®

Bring real-time event streaming to mission-critical IBM Z transactions and systems of record. Stream mainframe transactions and events securely into Kafka-based architectures.

  • Stream mainframe transactions and events securely into Kafka-based architectures
  • Enable real-time integration of IBM Z data with cloud applications, analytics and AI, without impacting the core system
  • Power responsive digital experiences and automation with trusted enterprise event streams
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