Software Alternatives & Reviews

Apache Camel VS Amazon SQS

Compare Apache Camel VS Amazon SQS and see what are their differences

Apache Camel logo Apache Camel

Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.

Amazon SQS logo Amazon SQS

Amazon Simple Queue Service is a fully managed message queuing service.
  • Apache Camel Landing page
    Landing page //
    2021-12-14
  • Amazon SQS Landing page
    Landing page //
    2023-03-22

Apache Camel videos

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Amazon SQS videos

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

Category Popularity

0-100% (relative to Apache Camel and Amazon SQS)
Data Integration
48 48%
52% 52
Web Service Automation
47 47%
53% 53
Stream Processing
0 0%
100% 100
ETL
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 Apache Camel and Amazon SQS

Apache Camel Reviews

10 Best Open Source ETL Tools for Data Integration
Popular for its data integration capabilities, Apache Camel supports most of the Enterprise Integration Patterns and newer integration patterns from microservice architectures. The idea is to help you solve your business integration problems using the best industry practices. It is also interesting to note that the tool runs standalone and is embeddable as a library within...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Camel is an Open-Source framework that helps you integrate different applications using multiple protocols and technologies. It helps configure routing and mediation rules by providing a Java-object-based implementation of Enterprise Integration Patterns (EIP), declarative Java-domain specific language, or by using an API.
Source: hevodata.com
Top 10 Popular Open-Source ETL Tools for 2021
Apache Camel is an Open-Source framework that helps you integrate different applications using multiple protocols and technologies. It helps configure routing and mediation rules by providing a Java-object-based implementation of Enterprise Integration Patterns (EIP), declarative Java-domain specific language, or by using an API.
Source: hevodata.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Apache Camel uses Uniform Resource Identifiers (URIs), a naming scheme used in Camel to refer to an endpoint that provides information such as which components are being used, the context path and the options applied against the component. There are more than 100 components used by Apache Camel, including FTP, JMX and HTTP. Apache Camel can be deployed as a standalone...
Source: blog.panoply.io

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.

Social recommendations and mentions

Based on our record, Amazon SQS should be more popular than Apache Camel. It has been mentiond 64 times since March 2021. 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 Camel mentions (12)

  • Ask HN: What is the correct way to deal with pipelines?
    "correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 7 months ago
  • Why messaging is much better than REST for inter-microservice communications
    This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / about 1 year ago
  • Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?
    Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: about 1 year ago
  • S3 to S3 transform
    For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago
  • 🗞️ We have just released our JBang! catalog 🛍️
    🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
View more

Amazon SQS mentions (64)

  • 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 / 3 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: 5 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago
  • The Role of Queues in Building Efficient Distributed Applications
    Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 9 months ago
  • Debugging SQS subscription issues to topics
    The key service that publishes messages to its subscribers is Simple Notification Service (SNS). We can add multiple different subscribers to a topic, for example, email addresses, phone numbers, or SQS queues. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Apache Camel and Amazon SQS, you can also consider the following products

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RabbitMQ - RabbitMQ is an open source message broker software.

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

AFSAnalytics - AFSAnalytics.

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