NATS Jetstream vs Memphis.dev

Comparing NATS Jetstream with Memphis.dev

What is NATS?

NATS is an open-source, message bus technology that powers modern distributed systems. Accordingly, it is responsible for addressing, discovering, and exchanging messages that drive the common patterns in distributed systems, asking and answering questions, aka services/microservices, and making and processing statements, or stream processing.


Streaming using NATS Jetstream

Firstly, NATS has a built-in distributed persistence system called Jetstream. Specifically, this system enables new functionalities and higher qualities of service on top of the base 'Core NATS' functionalities and qualities of service.
Jetstream is built-in to nats-server; therefore, you only need 1 (or 3 or 5 if you want fault-tolerance against 1 or 2 simultaneous NATS server failures) of your NATS server(s) to be JetStream enabled for it to be available to all the client applications.

What is Memphis.dev?

After years of operating and researching NATS, Memphis refactored NATS Jetstream to create a fully-fledged event-processing platform for developers.
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.

Memphis focuses on four pillars

  • Stability - Queues and brokers play a critical part in the modern application's structure and should be highly available and stable as possible.
  • Performance and Efficiency - Provide good performance while maintaining efficient resource consumption.
  • Observability - Reduces troubleshooting time to near zero.
  • Developer Experience - Rapid Development, Modularity, inline processing, Schema management.
 
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Comparison

Parameter
Memphis
NATS Jetstream
GUI
True
False
Schema Management
True
False
Inline stream enrichment
True
False
Produce/Consume behaviour
True
False
Consumer group
True
False
Ready-to-use connectors
True
True
Real-time message tracing
True
False
Data-Level Observability
True
False
Automatic environment optimization
True
False
Deduplication
True. Modified bloom filter
False
Dead-letter
True
False
REST Gateway
True
False
Consumer internal communication
Experimental
False
Production deployment environment
Kubernetes
Bare-metal
Storage tiering
Disk, Memory, S3 for Archiving
Disk, Memory