8 Confluent alternatives for European enterprises

As more European organisations evaluate their technology dependencies, Confluent alternatives deserve a closer look, particularly platforms that support open-source Apache Kafka, flexible deployment, self-service and enterprise governance.

Digital sovereignty has become a major topic across Europe. Governments, public agencies and enterprises are reassessing their dependence on US technology providers, while the European Commission is exploring ways to strengthen Europe's digital autonomy.

Much of the conversation focuses on cloud infrastructure, open-source technologies and the importance of having a clear exit strategy. Organisations want greater control over their data, infrastructure and operations without being locked into a single vendor.

But these considerations should not stop at cloud infrastructure. They also apply to data streaming.

For organisations running Apache Kafka, choosing a streaming platform is not just about performance, scalability or cost. It is also about who controls the infrastructure, where it can run and how easily the organisation can migrate if its requirements change.

Vendor lock-in at the data streaming layer can create the same challenges as cloud dependency: proprietary features, complex migrations, limited deployment flexibility and reliance on a single provider.

Below, we compare 8 Confluent alternatives and related Kafka platforms, examining how they approach sovereignty, open-source compatibility, governance and deployment flexibility.

1. Aiven for Apache Kafka with Klaw (Finland)

Aiven provides managed Apache Kafka services across multiple cloud environments. It can be combined with Klaw, an open-source governance and self-service tool.

Sovereignty and deployment: Aiven is headquartered in Finland and supports deployment in European cloud regions. Organisations should evaluate the underlying cloud provider and operating arrangements against their sovereignty requirements.

Self-service and governance: Klaw provides workflows for managing Kafka topics, schemas and access requests, including approval processes for application teams.

Open-source compatibility: Aiven uses Apache Kafka, while Klaw provides an open-source governance layer. This combination can appeal to organisations seeking managed operations with an open-source streaming foundation.

2. Redpanda and Redpanda Console

Redpanda is a Kafka API-compatible streaming platform built as an alternative to traditional Kafka broker infrastructure.

Sovereignty and deployment: Redpanda supports self-managed deployments, including on-premises and private cloud environments, allowing organisations to choose where their streaming infrastructure operates.

Self-service and governance: Redpanda Console provides tools for managing topics, access controls and schemas, alongside visibility into streaming operations.

Open-source compatibility: Redpanda supports Kafka APIs but uses its own streaming engine rather than Apache Kafka. Its licensing and architecture should therefore be considered separately from fully open-source Kafka distributions.

3. Conduktor Platform

Conduktor provides a management and governance layer for Kafka environments rather than replacing the underlying Kafka brokers.

Sovereignty and deployment: Conduktor can be deployed within an organisation's own infrastructure, including on-premises and private cloud environments.

Self-service and governance: Its Enterprise Gateway supports controls such as schema validation, naming conventions and data masking. It also provides workflows for managing access and governance across Kafka environments.

Open-source compatibility: Conduktor works with existing Apache Kafka deployments, allowing organisations to retain their underlying Kafka infrastructure while adding governance capabilities.

4. Strimzi on sovereign Kubernetes infrastructure

Strimzi is an open-source project for running Apache Kafka on Kubernetes.

Sovereignty and deployment: Organisations can deploy Strimzi on infrastructure they control, including on-premises Kubernetes clusters or European cloud providers such as OVHcloud and Scaleway. This provides flexibility over hosting, operations and infrastructure suppliers.

Self-service and governance: Strimzi uses Kubernetes custom resources to manage Kafka clusters and related components. Platform teams can combine these resources with GitOps tools such as Argo CD or Flux to implement provisioning and governance workflows.

Open-source compatibility: Strimzi runs Apache Kafka and provides an open-source operational foundation. Organisations retain control over their deployment architecture but also assume responsibility for operating and maintaining the platform.

For organisations evaluating whether to manage Kafka themselves or use an enterprise platform, While Strimzi simplifies raw Kafka deployment on Kubernetes, scaling it introduces massive engineering overhead for Day-2 operations and enterprise governance, which is why platforms like Axual wrap it in a fully supported, production-ready enterprise shell with 24/7 SLAs.

5. Axual (The Netherlands)

Axual is a Dutch enterprise Kafka platform designed for organisations that need to run and govern event streaming across regulated environments.

Sovereignty and deployment: Axual supports on-premises, private cloud and hybrid infrastructure, giving organisations control over where their streaming infrastructure runs. This makes it relevant for organisations that need to meet specific infrastructure, operational and data sovereignty requirements.

Self-service and governance: Axual provides a multi-tenant self-service platform where application teams can create topics, manage schemas and request access. Its Kafka governance capabilities include role-based access controls, approval workflows and audit trails.

Open-source compatibility: Axual builds on Apache Kafka and Strimzi, allowing organisations to retain an open-source Kafka foundation rather than depending on a proprietary streaming engine.

For organisations considering a move away from Confluent, Axual also provides Kafka migration services to support the transition.

You can explore the differences in more detail in Axual vs Confluent or learn how Axual compares to other Kafka platforms.

See Kafka governance in action with Axual

Managing Kafka at enterprise scale requires more than running brokers. Platform teams need visibility into who can access data, who owns resources and how changes are approved.

Axual combines governance with self-service capabilities, allowing application teams to work independently while platform teams maintain oversight.

https://www.youtube.com/watch?v=H4XGsonnorc

The video demonstrates how governance works in practice, including access management, approval workflows and resource ownership.

Learn more about Kafka governance with Axual.

For a practical example of enterprise Kafka adoption, read the Rabobank Kafka case study.

6. Azure Event Hubs and Azure Stream Analytics

Azure Event Hubs is Microsoft's managed event ingestion service, with Kafka protocol support. Azure Stream Analytics provides related stream-processing capabilities.

Sovereignty and deployment: Organisations can select European Azure regions and evaluate Microsoft's EU Data Boundary commitments. However, the underlying infrastructure remains part of Microsoft's proprietary cloud ecosystem.

Self-service and governance: Azure integrates with Microsoft Entra ID and other Azure management services for identity, access control and operational governance.

Open-source compatibility: Event Hubs supports Kafka clients through its Kafka-compatible endpoint. However, it does not run Apache Kafka brokers, and Kafka compatibility does not automatically provide full feature or operational portability.

7. Cloudera Data Platform Private Cloud

Cloudera provides enterprise data platform capabilities, including Kafka-based data streaming, for organisations with complex infrastructure and governance requirements.

Sovereignty and deployment: Cloudera supports private infrastructure deployments, making it relevant to organisations that need to keep data processing within controlled environments.

Self-service and governance: Cloudera's broader platform includes centralised security, access management and data governance capabilities. Organisations should assess how these capabilities apply specifically to their Kafka workloads.

Open-source compatibility: Cloudera's streaming capabilities are built around Apache Kafka and related data technologies, although the complete platform includes commercial components and management tooling.

8. Lenses.io

Lenses.io provides a DataOps and governance layer for Kafka environments.

Sovereignty and deployment: Lenses can operate alongside Kafka infrastructure deployed within an organisation's own network or cloud environment.

Self-service and governance: It provides tools for exploring streaming data, managing access and supporting operational workflows. These capabilities can help teams work with Kafka while maintaining centralised oversight.

Open-source compatibility: Lenses works with Apache Kafka deployments rather than replacing the underlying Kafka brokers. Organisations can therefore retain their existing Kafka infrastructure while adding management and governance functionality.

What you need to consider when choosing a Confluent alternative

For European organisations evaluating their data streaming infrastructure, the decision should go beyond a feature comparison.

Digital sovereignty and infrastructure control

Where does the platform run? Who operates it? Can your organisation move it to another infrastructure provider or bring it on-premises?

Data residency is important, but it is only one aspect of digital sovereignty. Organisations also need to consider operational control, supplier dependencies and the ability to maintain services if commercial or regulatory circumstances change.

For more on this distinction, read 7 reasons Europe doesn't trust AWS's sovereign cloud.

Open-source compatibility and vendor lock-in

Does the platform use Apache Kafka, or does it provide a proprietary streaming engine with Kafka-compatible APIs?

Both approaches can support event streaming, but they have different implications for portability, operations and migration.

Organisations should assess which components are open source, which capabilities are proprietary and what would be required to migrate to another platform.

Learn more about moving from Kafka vendor lock-in to open source.

Governance and self-service

As Kafka adoption grows, platform teams need to manage access, resource ownership, schema changes and operational responsibilities across multiple teams.

Governance capabilities such as role-based access control, audit trails and approval workflows help organisations maintain control without making every request dependent on central administrators.

Migration and long-term costs

Migration costs are an important consideration, but so are the ongoing costs of operating and maintaining a streaming platform.

Organisations should evaluate infrastructure requirements, support, operational complexity, proprietary dependencies and the resources needed to manage the platform.

An exit strategy should be part of the architecture from the beginning, not something considered only when a contract ends.

Conclusion: Why digital sovereignty matters when choosing a Confluent alternative

Europe's growing focus on digital sovereignty is encouraging organisations to reconsider their technology dependencies. While much of the discussion centres on cloud providers, the same principles apply to the platforms responsible for moving data between applications and systems.

Choosing a Confluent alternative is therefore not simply about replacing one Kafka vendor with another. It is an opportunity to evaluate deployment flexibility, open-source foundations, governance and long-term portability.

There is no single platform that meets every organisation's requirements. The right choice depends on the infrastructure, operational capabilities and level of control an organisation needs.

Did we miss a Confluent alternative?

This list is not exhaustive, and the data streaming ecosystem continues to evolve.

If you know of another platform that deserves to be included, particularly one that supports digital sovereignty, open-source compatibility or enterprise Kafka governance, let us know.

We're happy to review your suggestion and consider adding it to the list.

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