Compare KubeMQ

Compare KubeMQ with Kafka, RabbitMQ, Cloud services (Amazon SQS, Pub/Sub), and others.

Kafka is very popular but it’s Java-based, CPU-intensive, GB-heavy, and expensive … (Kafkaesque).

RabbitMQ is easy to play with … but it doesn’t fit real large-scale deployment in microservices.

Cloud messages result in a lock-in to the cloud provider and lead to unpredictable costs, especially in large-scale deployments.

Feature KubeMQ Confluent (Kafka) Cloud Messaging
(SQS/PubSub/ Service Bus)
Rabbit MQ
Highlights
Low code platform
Kubernetes Native
Connectors, bridges
Edge Computing
Hybrid Cloud + (complex)
All messaging patterns
Low Configuration
Day 2 operation
Total cost of ownership Low High High Med
Performance (msg/sec, in Kubernetes) 300-500K 50-100K 3-5K 15-20K
Minimal resources required 30 MB (container) 1.2 GB Managed 200 MB
1 CPU 8-16 CPU 2 CPU
0.5 GB 64 GB 1 GB
3 nodes 10 nodes 3 nodes
Language Go Java Erlang
Run Anywhere
Instant Deployment
Native Observability
Persistency
High Availability
Unlimited Payloads
No Other Dependencies
Queue
Exactly once delivery
Message Expiration
Delayed Delivery
Dead-Letter
Long Polling
Message Visibility Management
Push Mode
Pull Mode
Message Peeking
Ack-All Queues
Message Batching
Stream
At least once delivery
Message replay
Load Balancing
Consumer Groups
Pub/Sub Realtime
At most once delivery
Fast - In Memory
Wildcards Partitions
Load Balancing
Consumer Groups
RPC
Commands - Request Reply
Queries - Request Reply
Response Caching
Built-in Timeouts handling
Load Balancing
Consumer Groups
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