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  1. Stackups
  2. Application & Data
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  4. Realtime Backend API
  5. Message DB vs NATS

Message DB vs NATS

OverviewComparisonAlternatives

Overview

NATS
NATS
Stacks394
Followers498
Votes60
Message DB
Message DB
Stacks4
Followers11
Votes0
GitHub Stars1.6K
Forks64

Message DB vs NATS: What are the differences?

Introduction

Message DB and NATS are both messaging systems used in distributed systems for communication between different components. While they share some similarities, there are key differences that set them apart. The following paragraphs highlight the six main differences between Message DB and NATS.

  1. Scalability: Message DB is designed to be highly scalable and can handle large volumes of messages efficiently. It can handle high throughput and can scale horizontally to accommodate growing workloads. On the other hand, NATS is designed to be lightweight and fast, but it may not scale as well as Message DB for extremely large systems with high throughput requirements.

  2. Durability: Message DB provides durability by persisting messages to a database, ensuring messages are not lost even if a component or server fails. It guarantees data integrity and reliability. In contrast, NATS focuses on speed and performance and may not provide the same level of durability. It is optimized for message delivery speed rather than long-term persistence.

  3. Delivery Guarantees: Message DB offers different delivery guarantees, such as at-least-once and exactly-once delivery semantics. These guarantees ensure that messages are delivered reliably and with the desired level of consistency. NATS, on the other hand, provides at-most-once delivery, which means messages can be delivered once, but there is no guarantee of delivery or redelivery if a failure occurs.

  4. Messaging patterns: Message DB supports various messaging patterns like publish-subscribe, request-reply, event sourcing, and message queues. It provides a flexible and comprehensive set of patterns to cater to different use cases. In contrast, NATS is primarily designed for publish-subscribe communication patterns. While it can be used for other patterns, its main strength lies in pub-sub.

  5. Protocol Support: Message DB supports various protocols like AMQP, MQTT, and STOMP, making it compatible with a wide range of messaging clients and frameworks. NATS, on the other hand, has its proprietary protocol optimized for performance, simplicity, and lightweight messaging.

  6. Community and Ecosystem: Message DB has a larger community and a well-established ecosystem with extensive documentation, tools, and support available. It has been adopted by many organizations and has active contributions and updates. NATS also has a community and ecosystem, but it may not be as extensive or mature as Message DB's.

In summary, Message DB provides high scalability, durability, flexible messaging patterns, support for multiple protocols, and a robust community and ecosystem. NATS, on the other hand, focuses on lightweight and fast messaging, with a simpler pub-sub model and its proprietary protocol.

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Detailed Comparison

NATS
NATS
Message DB
Message DB

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

It is a fully-featured event store and message store implemented in PostgreSQL for pub/sub, event sourcing, and evented microservices applications.

-
Pub/Sub; JSON message data; Event streams; Stream categories; Metadata; Message queues; Message storage; Consumer groups; Service host; Administration tools; Reports
Statistics
GitHub Stars
-
GitHub Stars
1.6K
GitHub Forks
-
GitHub Forks
64
Stacks
394
Stacks
4
Followers
498
Followers
11
Votes
60
Votes
0
Pros & Cons
Pros
  • 22
    Fastest pub-sub system out there
  • 16
    Rock solid
  • 12
    Easy to grasp
  • 4
    Light-weight
  • 4
    Easy, Fast, Secure
Cons
  • 2
    Persistence with Jetstream supported
  • 1
    No Persistence
  • 1
    No Order
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to NATS, Message DB?

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

SignalR

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

Ably

Ably

Ably offers WebSockets, stream resume, history, presence, and managed third-party integrations to make it simple to build, extend, and deliver digital realtime experiences at scale.

Syncano

Syncano

Syncano is a backend platform to build powerful real-time apps more efficiently. Integrate with any API, minimize boilerplate code and control your data - all from one place.

SocketCluster

SocketCluster

SocketCluster is a fast, highly scalable HTTP + realtime server engine which lets you build multi-process realtime servers that make use of all CPU cores on a machine/instance. It removes the limitations of having to run your Node.js server as a single thread and makes your backend resilient by automatically recovering from worker crashes and aggregating errors into a central log.

deepstream.io

deepstream.io

Scalable Server for Realtime Web Apps with JSON structures that can be read, manipulated and listened to, messages that can be sent to one or more subscribers, and request response workflows, between two clients or servers.

8base

8base

A cloud service designed to power enterprise-grade web and mobile applications that require support for large numbers of users, complex data and transactional requirements, comprehensive role-based security and a modern look-and-feel.

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