IBM Confluent

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

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%
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IBM announcements at Think 2026 to advance the agentic era
Explore the latest innovations from IBM and Confluent, now an IBM company, including product updates, announcements and partnerships unveiled at Think 2026.
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watsonx.data + Confluent | Real-time context for trusted AI agents​
Help AI agents access continuously updated enterprise data with the semantic meaning, governance and context needed to deliver accurate, reliable insights.
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IBM Data Gate for Confluent: Turning Z data into real-time action
Turning IBM Z data into a continuous, real-time stream at scale to power AI and business growth
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Confluent Tableflow + watsonx.data | AI‑Ready Data with Open Standards
Make real-time streaming data immediately available for analytics and AI while reducing the overhead and complexity of data duplication.

Capabilities of the data streaming platform

Cloud-native scalability

Deliver unparalleled reliability with the IBM 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 IBM 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

Data streaming

Build with a complete data streaming platform to power AI, analytics and apps with real-time, enriched, trustworthy data.

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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.
AI-ready, real-time data

Ensure every model, agent and workflow runs on continuously updated enterprise data with lineage, policy enforcement and quality controls.
Better together IBM 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
 IBM 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
 IBM 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
Take the next step

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