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 |