Software Alternatives, Accelerators & Startups

Amazon SQS VS NATS

Compare Amazon SQS VS NATS and see what are their differences

Amazon SQS logo Amazon SQS

Amazon Simple Queue Service is a fully managed message queuing service.

NATS logo NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
  • Amazon SQS Landing page
    Landing page //
    2023-03-22
  • 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.

Amazon SQS features and specs

  • Scalability
    Amazon SQS scales automatically to handle an unlimited number of messages, ensuring that your application can support any level of demand without manual intervention.
  • Reliability
    Amazon SQS offers guaranteed delivery of messages, with multiple copies of each message stored redundantly across multiple servers and data centers.
  • Flexibility
    SQS supports both standard and FIFO (First In, First Out) queues, giving you the option to choose the type of queue that best suits your application's requirements.
  • Ease of Use
    Amazon SQS is fully managed, meaning you don't need to worry about provisioning or managing infrastructure. Integration is straightforward with a well-documented API.
  • Cost-Effective
    SQS follows a pay-as-you-go pricing model, where you only pay for the number of calls made to the API and the amount of data transferred, making it a cost-effective solution for many use cases.
  • Security
    SQS integrates with AWS Identity and Access Management (IAM) to control access. Additionally, it supports encryption of messages in transit and at rest, enhancing security.

Possible disadvantages of Amazon SQS

  • Message Limitation
    Each SQS message can body can be up to 256 KB in size during one API call, which might be restrictive for certain applications that require larger message payloads.
  • Latency
    Though generally fast, there can be latency in message delivery, especially when compared to more direct communication methods like WebSocket or gRPC.
  • Complexity in Handling Large Number of Messages
    While SQS can handle a large number of messages, managing a very high throughput can become complex, requiring careful configuration of multiple queues, message batching, and appropriate back-off and retry logic.
  • Cost for High Volume
    While cost-effective for many scenarios, SQS costs can increase significantly with very high volumes of messages due to the per-request pricing, potentially necessitating budget management.
  • Limited Ordering Guarantees
    Standard queues do not ensure the order of message processing. While FIFO queues provide ordering, they come with limitations in terms of throughput and additional costs.
  • Visibility Timeout
    Incorrectly setting the visibility timeout can result in duplicated message processing or delayed message processing, requiring careful consideration and configuration based on the application's characteristics.

NATS features and specs

  • Performance
    NATS is designed for high performance, offering low latency and high throughput, which makes it suitable for real-time applications.
  • Scalability
    It supports horizontal scaling with ease, allowing the system to handle a growing number of connections and messages effectively.
  • Simplicity
    NATS has a straightforward API and simple configuration, making it easier to use and manage compared to more complex messaging systems.
  • Fault Tolerance
    NATS includes features like clustering, message persistence, and support for distributed systems, contributing to high availability and reliability.
  • Polyglot Support
    NATS supports multiple programming languages, including Go, Java, Python, Ruby, and more, making it versatile in various tech stacks.
  • Event-Driven Architecture
    NATS is well-suited for event-driven architecture, facilitating real-time communication and distributed system design.

Possible disadvantages of NATS

  • Limited Message Persistence
    While NATS provides JetStream for message persistence, it was traditionally designed for transient messaging, which might not satisfy all persistence needs.
  • Complex Clustering
    Setting up and maintaining NATS clusters can be complex and may require careful planning and expertise.
  • Learning Curve
    Though simple to start, mastering NATS for large-scale and production-grade deployments can involve a steep learning curve.
  • Feature Set
    NATS focuses on core messaging features, which means it might lack some of the advanced features provided by other messaging systems like Kafka.
  • Ecosystem
    The NATS ecosystem is growing but may not be as extensive as other established messaging systems, potentially limiting available third-party tools and integrations.

Amazon SQS videos

Speed and Reliability at Any Scale: Amazon SQS and Database Services (SVC206) | AWS re:Invent 2013

NATS videos

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

Category Popularity

0-100% (relative to Amazon SQS and NATS)
Data Integration
65 65%
35% 35
Developer Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
Web Service Automation
100 100%
0% 0

User comments

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Reviews

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

Amazon SQS Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
Amazon SQS offers standard features such as dead-letter queues and costs allocation tags. With Amazon SQS, you can access the web services API in any programming language that supports the AWS SDK.
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon SQS (Simple Queue Service) is a fully managed, message queuing service for distributed systems, serverless applications, and microservices. It is known for the dissociation of components and the creation of effective asynchronous processes. It possesses a good SKD and a useful console. Because of its salient features, it is easy to use and hence favored by developers.

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

NATS might be a bit more popular than Amazon SQS. We know about 69 links to it since March 2021 and only 67 links to Amazon SQS. 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.

Amazon SQS mentions (67)

  • Large-scale Data Processing with Step Functions : AWS Project
    Amazon SQS — Fully managed message queuing for microservices, distributed systems, and serverless applications. - Source: dev.to / about 2 months ago
  • AWS SQS as an alternative to traditional application integration middleware
    When I took my first AWS trainings (AWS Cloud Practitioner and AWS Developer Associate), I was really impressed with the capabilities that AWS offers. One of them was the strong scalability capabilities - the feature that caused problems in some past projects. Since AWS SQS is a managed message queue, I thought it would be a good fit for my use case. - Source: dev.to / 4 months ago
  • Event-Driven Architecture on AWS
    Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / 8 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    SQS - 1 million messaging queue requests. - Source: dev.to / 11 months ago
  • Building Mature Content Detection for Mod Tools
    The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: about 1 year ago
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NATS mentions (69)

  • A Distributed Systems Reading List
    I think it's important to clarify who these lists are really for. They're not meant for people simply looking to "learn distributed systems," in my opinion. These might help those pushing the envelope or looking for new approaches. For the rest of us, imagine asking how to solve quadratic equations and getting 100 papers on category theory. > See also https://ferd.ca/a-distributed-systems-reading-list.html, which... - Source: Hacker News / 3 months ago
  • realtime chat with bot using data-star
    And now decided to write more complex things using https://nats.io and https://data-star.dev -. - Source: dev.to / 3 months ago
  • RabbitMQ 4.0 Released
    This is how I feel about NATS: https://nats.io/ It's an infinitely more friendly version of Kafka, pub/sub, etc that is extremely lightweight. Yet every environment trends towards Kafka because it was "chosen" by the big corps. - Source: Hacker News / 4 months ago
  • Top 7 Kafka Alternatives For Real-Time Data Processing
    NATS is an open-source, lightweight, high-performance messaging system known for its simplicity and ease of use. It is designed for cloud-native and IoT applications. - Source: dev.to / 4 months ago
  • HN-text: an easy-to-use, text-first Hacker News terminal client
    That sounds awesome. I have actually been working on something similar myself. I have been building a distributed NATS[0] cluster to funnel data down from the internet and index it locally. I also have a local Ollama box wired up to try to do some NLP on it. I started with Benthos to pull in, but since the recent license changes[1] I am rethinking that :( If you would like to collaborate feel free to shoot me an... - Source: Hacker News / 7 months ago
View more

What are some alternatives?

When comparing Amazon SQS 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.

SignalR - SignalR is a server-side software system designed for writing scalable Internet applications, notably web servers.

Amazon SNS - Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications

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