Software Alternatives, Accelerators & Startups

Apache Pulsar VS NATS

Compare Apache Pulsar VS NATS and see what are their differences

Apache Pulsar logo Apache Pulsar

Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.

NATS logo NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
  • Apache Pulsar Landing page
    Landing page //
    2023-12-17
  • NATS Landing page
    Landing page //
    2023-01-05

NATS.io is a connective technology for distributed systems and is a perfect fit to connect devices, edge, cloud or hybrid deployments. True multi-tenancy makes NATS ideal for SaaS and self-healing and scaling technology allows for topology changes anytime with zero downtime.

Apache Pulsar videos

No Apache Pulsar videos yet. You could help us improve this page by suggesting one.

+ Add video

NATS videos

The coolest OSS project you've never heard of: NATS Getting started!

Category Popularity

0-100% (relative to Apache Pulsar and NATS)
Developer Tools
14 14%
86% 86
Queueing, Messaging And Background Processing
Data Integration
14 14%
86% 86
App Development
0 0%
100% 100

User comments

Share your experience with using Apache Pulsar and NATS. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pulsar and NATS

Apache Pulsar Reviews

Best message queue for cloud-native apps
Pulsar also provides a rich set of client libraries for various programming languages, making it easy to build messaging and streaming applications using Pulsar. Apache Pulsar is a popular choice for real-time data processing and messaging in large-scale data processing applications, such as those used in the financial, telecommunications, and internet-of-things industries.
Source: docs.vanus.ai

NATS Reviews

Best message queue for cloud-native apps
NATS is designed to be simple and easy to use, with a small footprint and low latency. It is often used in cloud-native environments to connect different components of a distributed system or to enable communication between microservices. NATS also supports message persistence, security, and clustering, making it a robust messaging system for building scalable and resilient...
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
One challenge of NATS is that it does not support reliable message queuing out of the box - messages can be lost if a client disconnects before it receives them. This can be mitigated by using NATS Streaming, a data streaming system powered by NATS, but it adds complexity.
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
NATS is known for its high performance, low latency, and emphasis on simplicity after it was rewritten in Go. Its rewrite in Go makes NATS an ideal choice for demanding and real-time applications and has increased its throughput compared to its original Ruby implementation.
Source: gcore.com

Social recommendations and mentions

Based on our record, NATS seems to be a lot more popular than Apache Pulsar. While we know about 63 links to NATS, we've tracked only 1 mention of Apache Pulsar. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Pulsar mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago

NATS mentions (63)

  • Implementing OTel Trace Context Propagation Through Message Brokers with Go
    Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues. - Source: dev.to / about 2 months ago
  • NATS: First Impressions
    Https://nats.io/ (Tracker removed) > Connective Technology for Adaptive Edge & Distributed Systems > An Introduction to NATS - The first screencast I guess I don't need to know what it is. - Source: Hacker News / about 2 months ago
  • Sequential and parallel execution of long-running shell commands
    Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally. [1] https://nats.io/. - Source: Hacker News / 2 months ago
  • Interview with Sebastian Holstein, Founder of Qaze
    During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series. - Source: dev.to / 2 months ago
  • Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
    Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance... - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Apache Pulsar and NATS, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Socket.io - Realtime application framework (Node.JS server)

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Memphis - Highly scalable, and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming applications fast.

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.