Comparing RabbitMQ with Memphis.dev
What is RabbitMQ?
RabbitMQ is a lightweight and easy-to-deploy messaging queue for on-premises and cloud environments. It supports multiple messaging protocols.
RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.
What is Memphis.dev?
Memphis is a next-generation message broker.
Simple as RabbitMQ, Robust as Apache Kafka, and Perfect for modern event-driven applications.
A simple, robust, and durable cloud-native message broker wrapped with an entire ecosystem that enables fast and reliable development of next-generation event-driven use cases.
Memphis.dev enables building next-generation applications that require large volumes of streamed and enriched data, modern protocols, zero ops, rapid development, extreme cost reduction, and a significantly lower amount of dev time for data-oriented developers and data engineers.
300K messages per second per station (queue).
4K-10K messages per second
Policy-based (e.g., 30 days)
Smart broker/Smart consumer
Smart broker/dumb consumer
Exchange type: Direct, Fan out, Topic, Header-based
Up to 15M
Massive data/high throughput cases | Simple use cases
Simple use cases
At least once, Exactly once
Especially in relation to transactions utilizing a single queue, it does not guarantee atomicity.
Message ordering is provided via consumer groups. By message key, messages are sent to stations.
You can set message priorities in RabbitMQ and consume messages in the order of highest priority.
Since station messages are kept on file/memory. This can be controlled by defining a retention policy.
Because RabbitMQ is a queue, messages are discarded after being read, and an acknowledgment is given.
Namespaces including node selection *
Data striping across nodes
*Available for Memphis cloud users
- Queue: It is in charge of keeping track of messages that have been received and may have configuration data that specifies what it can do with a message.
- Exchange: An exchange receives messages sent to RabbitMQ and determines where they should be forwarded. Exchanges define the routing strategies used for messages, most frequently by examining the data characteristics transmitted with the message or included inside its attributes.
- Producer: Produces messages and sends them to a broker server (publishes). A payload and a label are the two components of a message. The user's desired data to convey is the payload. The label specifies who should receive a copy of the message and describes the payload.
- Consumer: It subscribes to a queue and is connected to a broker server.
- Broker: Applications can exchange information and communicate with one another through a broker.
- Binding: It tells an exchange which queues to distribute messages. Additionally, the binding will instruct the exchange to filter which messages it is permitted to add to a queue for specific exchange types.
- Replicas: One of the most crucial elements of Memphis is replication, which ensures that messages are published and consumed even when the broker encounters a problem.
- RAFT: It maintains data coordination between brokers such as configuration, location, data, and status details.
- Producer: Producers push or publish messages to a Memphis station created on a Memphis broker. Producers can also send messages to a broker synchronously or asynchronously.
- Consumers: Individuals who subscribe to a Memphis station and pull messages from it. Memphis allows data to be stored in additional storage platforms used by programs for online transaction processing (OLTP) beside internal disks and memory.
- Broker: Acts as a Memphis server, or broker. The number of streams for each message is defined in accordance with the order in which the broker stores the messages.
Scalability and Redundancy
Memphis supports multi-tenancy using namespaces which offers a complete separation from
Inline stream enrichment
Real-time message tracing
Automatic environment optimization
True. Modified bloom filter
Consumer internal communication
Production deployment environment
Disk, Memory, S3 for Archiving
Slack, Email, More
Using external project called Alertmanager