For enterprise Kafka workloads

Move from Kafka to KubeMQ.
80% Lower Cost.
20× Faster.

Start Free

Trusted by S&P 500 companies and governments.

Enterprises across industries.

  • GEWISSElectrical Equipment
  • AccentureConsulting & Technology
  • HPEEnterprise IT
  • DuPontAdvanced Materials
  • EliaEnergy & Utilities
  • TotalplayTelecommunications

Keep your clients.
Keep your code.

Connect supported Kafka applications to KubeMQ using your existing client libraries, producer and consumer code, topic names, and consumer groups.

Bring eligible topic history and map consumer positions as part of your migration. Assess compatibility before moving each workload.

Same clients. New messaging platform.Existing producer and consumer applications keep their Kafka client libraries and application code. Change their connection from Kafka brokers to KubeMQ for supported workloads. Kafka brokersPrevious platform Replace the broker Your producerYour consumerSame Kafka clientSame Kafka client ✓ Same code✓ Same code KubeMQSupported Kafka protocol

What stays the same

Your familiar Kafka clients and application code.

✓ Client libraries✓ Application code✓ Topic names✓ Consumer groups

Built in Go.
20× faster.
2× throughput.

Go’s lightweight goroutines help KubeMQ process many messages concurrently and efficiently. In this benchmark, KubeMQ delivered 20× faster end-to-end latency at p99.

Lower latency

20×

Faster end-to-end message delivery

KubeMQ13 ms
Kafka274 ms

128 KB client batches.

p99 measures the latency threshold for 99% of messages. Lower is better.

Higher throughput

2×

The message throughput

KubeMQ700K
Kafka300K

Messages/sec · highest target rate reached.

KubeMQ can scale further with more CPU cores. In the tested configuration, Kafka stayed capped at 400K messages/sec even with additional cores.

Seamless migration through your current AI tools.

Ask in chat. Your AI tools handle the migration through KubeMQ’s kmq CLI.

Assess your Kafka workloads, copy and validate data, then coordinate the switch — from the AI tools you already use.

You describe the goal.

Your AI tools execute the migration steps.

Start with one request

Help me migrate from Kafka to KubeMQ.

Your current AI tools
Example conversation
You

Help me migrate from Kafka to KubeMQ.

Your AI assistant

I’ll start by checking your Kafka workloads with kmq and preparing a migration plan for you to review.

Using kmq CLIInspecting available migration commands
CLI discoverykmq version
kmq schema -o json
Show me the migration plan

Interactive example · no migration is executed

Kafka
KubeMQ

Easy to use.
Easy to manage.

KubeMQ is built for easy deployment and low-maintenance operations, bringing the simplicity of a managed service to your own infrastructure — with your organization in full control of its data, deployment, and operations.

Try the five-minute quickstart ↗
KubeMQ Dashboard
Original KubeMQ v3.6.16 dashboard showing queue metrics and demo traffic

Actual KubeMQ dashboard with sample traffic.

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.

Common questions

How is the 80% savings figure calculated?

The 80% savings claim applies to high-volume enterprise Kafka customers spending more than $1 million per year on messaging. 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 do I migrate from Kafka?

KubeMQ’s migration tools help you assess compatibility, copy messages, and map consumer offsets. Validate your applications and performance before switching workloads in stages, with a migration plan tailored to your environment.

Explore migration
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. KubeMQ migration tools 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 KubeMQ Migration Tools.

Prefer to explore? Start Free

Talk to KubeMQ

Let’s find your fit.

A little context helps us make this conversation useful.

Step 1 of 2

What would you like to explore?

Prefer email? marketing@kubemq.io

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