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Apache Camel Alternatives
Similar projects and alternatives to Apache Camel
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aws-lambda-java-libs
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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openapi-generator
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
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realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
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terraform-cdk
Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
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wing
A programming language for the cloud ☁️ A unified programming model, combining infrastructure and runtime code into one language ⚡
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gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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cadence
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
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awscli-local
💲 "awslocal" - Thin wrapper around the "aws" command line interface for use with LocalStack
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Apache Camel alternative or higher similarity.
Apache Camel reviews and mentions
Posts with mentions or reviews of Apache Camel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
- Show HN: Winglang – a new Cloud-Oriented programming language
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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/
- https://github.com/huginn/huginn
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.
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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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 about the pitch because the solution is presented as enabling you to maintain synchronous style programming while achieving benefits of async processing. This just isn't true, these are fundamental tradeoffs. If you need a synchronous answer back then no amount of queuing, routing, prioritisation, etc etc will save you when the fundamental resource providing that is unavailable, and the ultimate outcome that your synchronous client now hangs indefinitely waiting for a reply message instead of erroring hard and fast is not desirable at all. If you go into this ad hoc, and build in a leaky abstraction that asynchronous things are are actually synchronous and vice versa, before you know it you are going to have unstable behaviour or even worse, deadlocks all over your system and the worst part - the true state of the system is now hidden in which messages are pending in transient message queues everywhere.
What really matters here is to fundamentally design things from the start with patterns that allow you to be very explicit about what needs to be synchronous vs async (building on principles of idempotency, immutability, coherence, to maximise the cases where async is the answer).
The notion of Apache Camel is to make all these decisions a first class elements of your framework and then to extract out the routing layer as a dedicated construct. The fact it generalises beyond message queues (treating literally anything that can provide a piece of data as a message provider) is a bonus.
[0] https://camel.apache.org/
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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.
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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.
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🗞️ We have just released our JBang! catalog 🛍️
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes.
- 7GUIs of Java/Object Oriented Design?
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System Design: Enterprise Service Bus (ESB)
Apache Camel
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Advanced: Java, JVM and general knowledge
So, my advice is this. Expand your knowledge. Pursue higher education on topics you are familiar with, but also explore topics you are not. Read documentation, but question it. I just found out about something called Apache Camel today that I am excited to read up on. Why is it better than Spring? Is it really? What's happening here? This is always what excites me as a developer and engineer. There is so much to learn.
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Stats
Basic Apache Camel repo stats
21
5,318
10.0
about 21 hours ago
apache/camel is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Apache Camel is Java.
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