Reliability
Replicated storage and clustering provide a resilient foundation for business-critical messaging.
For enterprise Kafka & Confluent workloads
Enterprise messaging.
80% less cost.*
Put your messaging budget back into your business. KubeMQ’s predictable, fixed-cost licensing is tiered by package size, not message volume—changing the economics of high-volume Kafka and Confluent workloads.
Self-managed messaging for on-prem, hybrid cloud, and regulated environments.
*Based on a typical KubeMQ enterprise customer who migrated from Kafka. Actual savings vary by current costs, package selection, and deployment requirements.
Same workload. Different economics.Illustrative
Your current platform / yearKubeMQ scenario / year
80%typical savings.
For enterprises moving from Kafka.
For enterprises moving from Kafka.
Based on a typical KubeMQ enterprise customer who migrated from Kafka. Illustrative annual costs.
You’re in good company.
Meet some of the enterprises that have chosen KubeMQ.
- GEWISS
- Accenture
- elia
- DuPont
- HPE
- Total Play
Keep your applications.
Change your economics.
Capture the savings without a major application rewrite. KubeMQ’s protocol compatibility lets supported applications keep their familiar messaging APIs while the infrastructure changes underneath.
Moving from Kafka? The KubeMQ Kafka Connector makes the transition transparent to your applications, with a fast, gradual rollout that stays under your control.
Compatibility across Kafka, RabbitMQ, MQTT, JMS/AMQP, STOMP, AWS SQS/SNS, and Google Pub/Sub for supported workloads.
Your applications keep their familiar Kafka APIs
ProducersServicesConsumers
Existing Kafka / Confluent environment
KubeMQ Kafka ConnectorReplicate · Map offsets · Stage the cutover
KubeMQSelf-managed. Fixed-cost licensing.
Keep your applications. Control the transition.
A gradual move, at your pace.
- Assess & connect
Select the first workload and prepare replication with the Kafka Connector.
- Validate & expand
Confirm application behavior and performance, then extend the rollout.
- Cut over with control
Move workloads in stages, with your team choosing the timing.
Keep the savings.
Keep operations simple.
Kubernetes-native operations make self-management efficient. KubeMQ fits the deployment, scaling, recovery, and automation practices your platform team already uses.
Messaging becomes part of your existing operating model, so the savings stay with your business instead of turning into a separate operations burden.
One Kubernetes operating model
DeployYour existing automation
ScaleYour platform workflows
RecoverBuilt-in recovery capabilities
Self-managed messaging.
One familiar way to operate it.
One familiar way to operate it.
Your infrastructure.
Your choice.
You control deployment, data location, and operations.
- On-premisesRun in your own infrastructure.
- Hybrid cloudUse the same platform across environments.
- Regulated environmentsPrivate, secure, and air-gapped deployment options.
Enterprise essentials.
Already built in.
The reliability, security, and visibility your business-critical systems depend on are part of the platform.
Security
RBAC controls access and audit capabilities track activity, including in secure and isolated deployments.
Observability
OpenTelemetry, management tools, and the CLI give your team visibility into messaging and day-to-day control.
AI agent communication
Connect AI agents with your applications and with each other. MCP/A2A support brings agent communication into your messaging platform.
How is the 80% savings figure calculated?
The approximately 80% savings figure is based on a typical KubeMQ enterprise customer who migrated from Kafka. KubeMQ uses fixed-cost pricing, with tiers based on package size rather than message volume. Your savings depend on your current costs and the package that fits your needs.
Does fixed-cost licensing mean all costs stay flat?
KubeMQ licensing is fixed within your selected package tier, with no message-volume charges. Moving to a different package tier changes the license price. Infrastructure and operational costs depend on your workload and deployment.
How does the Kafka Connector make migration transparent?
The KubeMQ Kafka Connector supports a staged move while Kafka compatibility lets supported applications keep their familiar APIs. Validate the client behavior and features your workloads use, then use replication, offset mapping, and a planned cutover to move gradually.
Can we migrate gradually instead of switching everything at once?
Yes. Begin with a selected workload, validate compatibility and performance, and expand in controlled stages. The connector and migration tooling help your team move quickly while retaining control of the rollout and cutover timing.
Bring your workload.
Let’s compare the numbers.
Tell us what you run and what it costs. We’ll compare the economics and map a fast, controlled migration with the KubeMQ Kafka Connector.
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