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
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
High Availability
Unlimited Payloads
No Other Dependencies
Exactly once delivery
Message Expiration
Delayed Delivery
Long Polling
Message Visibility Management
Push Mode
Pull Mode
Message Peeking
Ack-All Queues
Message Batching
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
Commands - Request Reply
Queries - Request Reply
Response Caching
Built-in Timeouts handling
Load Balancing
Consumer Groups
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