Event Streaming

Confluent Consulting and Apache KafkaReal-time data streams for integration, analytics and AI

With our Confluent consulting, you introduce event streaming securely – with Confluent or Apache Kafka, in the cloud or on-premises. We plan your streaming architecture, connect SAP and other systems and ensure stable, compliant operations.

Real time

Data in seconds instead of nightly batches

Kafka & Confluent

Open source or enterprise platform

Cloud & on-prem

Operated where your data lives

ISO 27001

certified information security

Why event streaming

When data cannot wait

Orders, stock movements, sensor data and customer changes are created continuously – yet many systems still exchange them in nightly batches. Event streaming makes every change available immediately to all systems that need it.

Apache Kafka is the industry standard for this, and Confluent extends Kafka with tools for operations, security and governance. In our Confluent consulting, we clarify which option suits your requirements, plan the architecture and support you through introduction and operations.

Enterprise data streaming pipeline confluent
Use cases

Use cases from our Confluent consulting

Real-time integration of SAP and third-party systems

Pass SAP events, CRM changes or IoT data to all target systems within fractions of a second.

Real-time reporting and monitoring

Continuously up-to-date data for BI systems such as Qlik, Power BI or Tableau – for decisions based on current figures.

Event-driven AI and machine learning

Events trigger ML pipelines and AI agents – for example for forecasts, fraud detection or recommendations.

Data availability and governance

Manage GDPR-compliant processes and role-based access to real-time data centrally.

Modernising legacy systems

Decouple monolithic legacy systems and move them step by step into a modern event architecture.

Omnichannel customer experience

Keep customer interactions across web, app and service in sync – based on consistent event data.

Choosing a platform

Confluent or Apache Kafka?

Many organisations start with Apache Kafka and then reach limits in security, scaling and operational effort. Confluent adds managed services and tools to Kafka. We clarify independently of any vendor what you really need.

Apache Kafka

Open source, flexible and free of licence costs – with more responsibility for operations, security and upgrades.

Confluent

Kafka as a platform with Confluent Cloud, Schema Registry, ksqlDB and integrated security – less operational effort, more convenience.

Our role

In our Confluent consulting, we assess requirements, costs and operating model and plan an architecture that fits your data strategy.

Case studies

Data in motion: projects from practice

FAQ

Frequently asked questions about Confluent and Kafka

Confluent is an event streaming platform based on Apache Kafka. Among other things, it adds Confluent Cloud as a managed service, a Schema Registry, ksqlDB for stream processing and integrated security features to Kafka. In our Confluent consulting, we help you use these building blocks to match your requirements.

That depends on data volumes, security and governance requirements and your operating model. Open source Kafka offers maximum flexibility but requires more in-house operational effort. Confluent reduces this effort. We assess both options for your use case.

IBM completed the acquisition of Confluent in March 2026. IBM has announced that Confluent will continue as an independent brand within IBM. We advise you independently on your options – from continuing with Confluent to open source Kafka or alternative streaming platforms. You can read our full assessment in our company news on the acquisition.

Yes. Via Kafka, changes from SAP and other ERP systems can be provided as events and passed on in real time to other systems, data platforms or analytics.

Event streaming adds real time to classic data integration. Many architectures combine both: streams for time-critical events, batch integration and a data warehouse for analytics. Learn more on our data and analytics page.

Ideally with a specific data stream that is too slow or too laborious today. In an initial consultation, we clarify sources, targets and the right operating model.

Contact

Let's talk about your data streams

Are you planning event streaming, want to review an existing Kafka or Confluent environment or assess your options after the IBM acquisition? We will get back to you promptly for a free initial consultation.


    Contact person

    Your contact

    Michael Schwarz, Head of Business Enablement & Customer Relations at cimt
    Michael Schwarz

    Head of Business Enablement & Customer Relations

    Note: This text was created or revised with the support of AI.

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