Confluent
Real-time data streaming at enterprise scale: built on Kafka, engineered for production.
Apache Kafka has become the industry standard for continuous data movement – not in batches, not on a schedule, but the moment something happens. Confluent was built by Kafka’s original creators to make that capability enterprise-ready: fully managed, cloud-native, and deployable across any environment without the operational overhead that self-managed Kafka demands.
From open-source Kafka to enterprise streaming
Confluent removes the operational burden of self-managed Kafka with elastic, serverless scaling, a 99.99% uptime SLA, and end-to-end encryption built in. The same familiar Kafka APIs and tooling remain; what changes is the overhead and the governance layer that enterprise workloads require.
Find out more on the IBM website: Confluent >
Deployment that fits your environment
Confluent Cloud runs fully managed across AWS, Azure, and Google Cloud. Confluent Platform delivers the same capability on-premises or in private cloud. For strict data sovereignty requirements, WarpStream runs entirely within your own cloud environment – zero data leaves your VPC.
What real-time data makes possible
Fraud platforms that evaluate transactions in milliseconds. Customer pipelines that reflect behaviour as it happens. Operational visibility across an entire network in the moment rather than after the next batch run. The right architecture depends on the use case – we start there.
The streaming foundation for AI
Confluent delivers continuous event streams to AI and analytics systems the moment data is generated, with quality, lineage, and cataloguing built into the pipeline. For organisations building AI-ready architecture, watsonx.data integration connects Confluent’s streaming layer to the broader pipeline and governance framework. For AI agents specifically, this means acting on current state rather than historical snapshots.
Confluent in action
For organisations trying to close the gap between what is happening in their business and what their systems know about it, Confluent is the streaming backbone that makes it possible. We work with organisations extending existing Kafka investments and those coming to streaming for the first time – from use case validation through to production deployment, often combining Confluent with IBM StreamSets for intelligent data ingestion across hybrid environments.
Already running Kafka or Confluent, or evaluating real-time streaming for the first time?
Talk to us about where it would make the biggest difference.