Deliver real-time context for AI at scale
Stream, process, and enrich data continuously so AI systems operate on accurate, up-to-date context across applications and workflows.
Stop managing Kafka.
Start delivering real-time context for AI.
See how IBM Confluent helps you move beyond self-managed Kafka, eliminate operational overhead, and deliver consistent, governed, real-time data across your business.
From Kafka clusters to a complete
data streaming platform
Eliminate Kafka infrastructure overhead
Move to a fully managed platform that handles scaling, upgrades, and availability—so teams focus on use cases, not clusters.
Unify streaming across teams and environments
Connect systems, applications, and data sources through a single streaming layer that stays consistent as your architecture grows.
Build governed, reusable data streams
Apply built-in governance, schema management, and lineage to create trusted data products that power AI, analytics, and operations.
Ready to leave Kafka infrastructure overhead behind?Get the practical guide
to modernizing your data streaming architecture.
Get the cheat sheet
Explore more
Good teams manage Kafka. Efficient teams use Confluent.
See how moving from self-managed Kafka to Confluent reduces complexity, improves reliability, and accelerates outcomes.
Read the paper
The Forrester Wave™: Streaming Data Platforms
Understand how leading vendors compare—and why modern data streaming platforms are critical for AI and real-time architectures.
Read the report
Top 10 use cases for data streaming
Explore practical ways to apply real-time data across AI, analytics, and operational workflows.
Get the guideProven results
↓48%
SecurityScorecard reduced annual operating costs by 48% by moving from self-managed Kafka and MSK to a fully managed data streaming platform.
Read the story↑3x
Notion increased engineering productivity by 3x by streaming real-time, governed data to power AI features and eliminate legacy batch pipelines.
Read the story↓30%
Citizens Bank reduced IT costs by 30% by shifting from batch processing to a real-time data streaming platform for fraud detection and customer engagement.
Read the storyWhat could real-time data deliver for your business?Connect with an
expert to explore the right path beyond self-managed Kafka.
Talk to an expert
TAKE THE NEXT STEP
Get the resources and expertise to move beyond Kafka
You’ve outgrown self-managed Kafka. Now what?
Modernize your streaming architecture to deliver the real-time context your AI, applications, and teams depend on.
- Access practical IBM Confluent resources
- Discuss your streaming priorities with an expert
- Get a clear path for reducing operational overhead
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