Learn how to migrate from Apache Kafka® to Confluent Cloud
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IBM Confluent

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

The complete data streaming platform for accelerating enterprise AI

IBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments. Together, IBM and Confluent turn raw events into trusted, reusable data products for applications, analytics and AI—without brittle batch pipelines or custom integration sprawl.

Data in motion

Power real-time AI and apps

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

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

Move faster with a Zero Ops experience powered by a fully-managed platform, prebuilt connectors and native governance.

See how Notion powers 100M+ users daily
Deploy where your data needs to be

Run and manage real-time data streaming consistently across public clouds, private clouds and on-prem mainframes.

See how SecurityScorecard combines on-prem with cloud
Lower streaming TCO

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

See how SAS save 69%

Complete Data Streaming Platform

Cloud-Native Kafka

Deliver unparalleled reliability with IBM Confluent Cloud’s 99.99% uptime SLA, support GBps+ workloads with elastic scaling.

150 pre-built connectors

Connect databases, SaaS applications, on-prem systems and modern cloud services with prebuilt and fully-managed Kafka connectors across your entire ecosystem.

Native governance suite

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

Integrated stream processing

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

Streams to tables in real-time

Turn data streams into open tables for your data lake, in a few clicks, with Tableflow while lowering costs by up to 50%.

IBM Confluent Intelligence

Serve fresh, governed context to AI agents and applications with real-time, replayable data streams.

Use cases

Do more with 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

Ready to learn more about data streaming?

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