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  5. Apache Pulsar vs NATS

Apache Pulsar vs NATS

OverviewComparisonAlternatives

Overview

NATS
NATS
Stacks394
Followers498
Votes60
Apache Pulsar
Apache Pulsar
Stacks119
Followers199
Votes24

Apache Pulsar vs NATS: What are the differences?

Introduction

Apache Pulsar and NATS are both messaging systems used for building distributed and scalable applications. However, there are several key differences between Apache Pulsar and NATS that developers should consider when choosing a messaging system for their projects.

  1. Architecture: Apache Pulsar is built on a modern, cloud-native architecture that provides high scalability and fault-tolerance. It uses a hierarchical topic structure and a distributed log-based storage system. On the other hand, NATS follows a simple, lightweight design philosophy. It uses a publish-subscribe model and guarantees at-most-once delivery semantics.

  2. Ecosystem: Apache Pulsar has a rich and growing ecosystem with support for multiple programming languages, including Java, Python, and Go. It also provides connectors for integration with other systems like Apache Kafka and AWS S3. NATS, on the other hand, offers a more streamlined ecosystem focused on simplicity and performance. It has good support for popular programming languages but may have limited integration options.

  3. Persistence: Apache Pulsar provides built-in message persistence, which means messages are stored on disk and can be replayed later. It supports both durable and non-durable subscriptions, allowing consumers to catch up on missed messages. NATS, on the other hand, does not provide built-in persistence. Messages are stored in memory and are not persisted to disk, making it more suitable for scenarios where high throughput and low latency are more important than message durability.

  4. Multi-tenancy: Apache Pulsar supports multi-tenancy, which means it can be used by multiple independent tenants or organizations within a single deployment. It provides fine-grained access control and resource isolation between tenants. NATS, on the other hand, is not designed with native multi-tenancy support, making it more suitable for scenarios where a single organization or application is using the messaging system.

  5. Delivery Guarantees: Apache Pulsar provides strong delivery guarantees, including exactly-once semantics for message processing. It achieves this by using a log-based storage system and maintaining message offsets. NATS, on the other hand, focuses on low latency and at-most-once delivery semantics. While NATS provides high performance, it may not be suitable for use cases that require strict ordering and message reliability.

  6. Deployment Flexibility: Apache Pulsar can be deployed on-premises or in the cloud. It supports multiple deployment modes, including standalone, local cluster, and globally distributed deployments. NATS, on the other hand, is typically deployed as a lightweight server or cluster and may not have the same level of deployment flexibility as Apache Pulsar.

In Summary, Apache Pulsar and NATS differ in their architecture, ecosystem, persistence, multi-tenancy support, delivery guarantees, and deployment flexibility. Developers should carefully consider these differences when choosing a messaging system for their specific use case.

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Detailed Comparison

NATS
NATS
Apache Pulsar
Apache Pulsar

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.

Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

-
Unified model supporting pub-sub messaging and queuing; Easy scalability to millions of topics; Native multi-datacenter replication; Multi-language client API; Guaranteed data durability; Scalable distributed storage leveraging Apache BookKeeper
Statistics
Stacks
394
Stacks
119
Followers
498
Followers
199
Votes
60
Votes
24
Pros & Cons
Pros
  • 22
    Fastest pub-sub system out there
  • 16
    Rock solid
  • 12
    Easy to grasp
  • 4
    Easy, Fast, Secure
  • 4
    Light-weight
Cons
  • 2
    Persistence with Jetstream supported
  • 1
    No Order
  • 1
    No Persistence
Pros
  • 7
    Simple
  • 4
    Scalable
  • 3
    High-throughput
  • 2
    Geo-replication
  • 2
    Multi-tenancy
Cons
  • 1
    Very few commercial vendors for support
  • 1
    Only Supports Topics
  • 1
    Not jms compliant
  • 1
    No guaranteed dliefvery
  • 1
    No one and only one delivery

What are some alternatives to NATS, Apache Pulsar?

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

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.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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.

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