Kafka Migration

Stop managing Kafka.
Start streaming value.

Fragmented data slows AI adoption

AI-native applications and analytics stall when context arrives late, is incomplete or unreliable. A self-managed Apache Kafka stack with integrations for processing and governance leaves data siloed across systems, forces teams to work with stale data, and reduces trust.

Real-time context powers AI readiness

IBM® Confluent gives teams a complete data streaming platform. Connect every source, enrich data in motion and deliver trustworthy, real-time context with integrated capabilities so that teams can focus on building features, not managing infrastructure.

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IBM Confluent in action

See how IBM Confluent simplifies data streaming. No sign-up required.

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Benefits

Migrate Kafka without downtime

The unique combination of tools, support and ecosystems provided by IBM Confluent enables fully automated discovery, provisioning, data migration and client migration while compressing timelines and reducing risk.

Access and enrich data from every system

Connect any data source in minutes with prebuilt, fully managed connectors and process in motion with native stream processing. Replace integration backlogs with reusable streams to power analytics, AI, applications and operational workflows from a single trusted source.

Unify Kafka across environments

A single platform architecture ensures consistent capabilities, governance and one operational model across environments. IBM Confluent Unified Stream Manager provides a unified control plane across deployments.

Retire the engineering tax

Automate scaling, upgrades and balancing with a fully managed platform that delivers 99.99% uptime service level agreements. This helps reduce the manual effort involved in partition management, rolling restarts and incident response.

Related use cases

Hybrid and multicloud replication

Mirror data across clouds—Amazon Web Services, Microsoft Azure, Google Cloud—and on-prem environments for disaster recovery and global availability, without operational sprawl.

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Customer 360 and personalization

Unify customer data—such as clickstreams, transactions and CRM—in real time to deliver hyperpersonalized recommendations and next-best offers and increase conversion rates.

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Real-time fraud detection

Process high-throughput streams with millisecond latency to detect and block threats in near real-time, eliminate batch delays and protect revenue and trust.

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