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Apache Camel VS Amazon S3

Compare Apache Camel VS Amazon S3 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 S3 logo Amazon S3

Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
  • Apache Camel Landing page
    Landing page //
    2021-12-14
  • Amazon S3 Landing page
    Landing page //
    2021-11-01

Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.

Apache Camel videos

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Amazon S3 videos

Introduction to Amazon S3

More videos:

  • Review - Getting Started with Amazon S3 - AWS Online Tech Talks
  • Review - Amazon S3 Review: Amazon S3
  • Review - Amazon S3 Glacier Cloud Storage: What You Need to Know
  • Review - Wasabi vs. Amazon S3

Category Popularity

0-100% (relative to Apache Camel and Amazon S3)
Data Integration
100 100%
0% 0
Cloud Hosting
0 0%
100% 100
Web Service Automation
100 100%
0% 0
Cloud Computing
0 0%
100% 100

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 S3

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 S3 Reviews

Best Top 12 MEGA Alternatives in 2024
Amazon Simple Storage Service (Amazon S3) is an object storage service with industry-leading scalability, data availability, security, and performance. The service is particularly suitable for enterprise users to manage collect, store, protect, back-up, retrieve, and analyze data.
Top 10 Netlify Alternatives
Amazon S3 is referred to as Amazon Simple Storage Service. It is basically a cloud storage service that was initially released in 2006. This product of Amazon Web Services (AWS) handles big data analytics, provides online data backups and helps in web-scale computing.
What are the alternatives to S3?
Sometimes Amazon S3 might not be serving you as you need and need some features or want to move out of the big 3 providers due to charges of which you’re not using much of their services. There are many alternatives to object storage that you can use at a far lower cost than what you pay on Amazon S3. And storing data traditionally can become complicated sometimes, whereby...
Source: www.w6d.io
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
When you use a Big 3 provider, like Azure Blob Storage or Amazon S3, you’re often paying for reliable storage that a vast swath of enterprises with low-risk tolerance can bet the farm on. Azure has a wide range of options for replication (which has a considerable impact on the reliability of your storage), including LRS (Low Redundancy Storage) if you want to save some cost....
Source: dev.to
16 Top Big Data Analytics Tools You Should Know About
The collected data can be easily integrated with the Amazon family of big data services in storage (Amazon S3), Amazon DynamoDB (the No-SQL database for unstructured data), and Amazon RedShift (data warehouse product).

Social recommendations and mentions

Based on our record, Amazon S3 seems to be a lot more popular than Apache Camel. While we know about 175 links to Amazon S3, we've tracked only 12 mentions of Apache Camel. 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 / 9 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 / over 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: over 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 S3 mentions (175)

  • How to Setup a Project That Can Host Up to 1000 Users for Free
    When dealing with image processing, we can use S3 and our own transformers, but in order to simplify development, better to use some free SaaS solution. We can rely on it when dealing with a common set of problems. Every image uploaded can be dynamically transformed to any thumbnail size, file format, and quality so we are able to test different settings that best fit user expectations. All images can be... - Source: dev.to / 11 days ago
  • A step-by-step guide to building an MLOps pipeline
    The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 12 days ago
  • Deploy a Static React Site Using AWS S3 and CloudFront
    In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / 22 days ago
  • Secure Pattern for Deploying WASM on S3
    The main stars for deploying WASM on S3 are CloudFront and of course S3. Those two services will do the heavy lifting with our compiled WASM distribution. - Source: dev.to / about 1 month ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing Apache Camel and Amazon S3, you can also consider the following products

Histats - Start tracking your visitors in 1 minute!

AWS Lambda - Automatic, event-driven compute service

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

AFSAnalytics - AFSAnalytics.

Minio - Minio is an open-source minimal cloud storage server.