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Apache Synapse VS Apache Camel

Compare Apache Synapse VS Apache Camel and see what are their differences

Apache Synapse logo Apache Synapse

On-Premise Data Integration

Apache Camel logo Apache Camel

Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.
  • Apache Synapse Landing page
    Landing page //
    2023-05-17
  • Apache Camel Landing page
    Landing page //
    2021-12-14

Apache Synapse features and specs

  • Scalability
    Apache Synapse is designed to handle a large number of concurrent connections, making it suitable for high-load environments and scalable architectures.
  • Flexibility
    It offers a flexible system for managing web services interactions, with support for numerous protocols such as HTTP/S, JMS, and more, allowing integration with diverse systems.
  • Lightweight
    Synapse is lightweight in terms of configuration and operation, which can be an advantage in environments where resource efficiency is critical.
  • Open Source
    Being an open-source project, Apache Synapse is freely available and benefits from community contributions and improvements.
  • Extensible
    Developers can extend its capabilities to meet specific business requirements by using custom scripts and mediators.

Possible disadvantages of Apache Synapse

  • Complexity
    Setting up and configuring Apache Synapse can be complex, requiring a deep understanding of its architecture and components, which can be a steep learning curve for new users.
  • Documentation
    Users may find the documentation lacking in certain areas, which can make troubleshooting and learning more difficult for newer users.
  • Performance Overhead
    Under certain circumstances, there might be performance overhead due to the way Synapse processes requests, which can be an issue in highly performance-sensitive applications.
  • Community Support
    While it is open-source, the community and support around Apache Synapse might not be as large or active as some other integration solutions.
  • Limited Features Compared to Competitors
    Apache Synapse might lack some advanced features present in commercial solutions, which could be a limitation for enterprise-level requirements.

Apache Camel features and specs

  • Flexibility
    Apache Camel's architecture allows for integration with a wide variety of systems, protocols, and data formats. This flexibility makes it easier to fit into heterogeneous environments.
  • Wide Range of Components
    With over 300 components, Apache Camel supports numerous integration scenarios. This extensive library reduces the need for custom coding, speeding up the development process.
  • Enterprise Integration Patterns
    Camel is built around well-known Enterprise Integration Patterns (EIPs), providing a structured way to design and implement complex integration solutions.
  • Ease of Use
    It offers straightforward DSLs (Domain Specific Languages) in Java, XML, and other languages, making it accessible and easy to use for developers.
  • Strong Community Support
    Being an Apache project, Camel benefits from a robust community and extensive documentation, which can help address issues and provide guidance.

Possible disadvantages of Apache Camel

  • Performance Overhead
    Due to its extensive feature set and high level of abstraction, Camel may introduce performance overhead, which might not be suitable for very high-throughput systems.
  • Steep Learning Curve
    Although it simplifies integration, mastering Camel requires a good understanding of EIPs and the Camel-specific DSLs, which can be challenging for beginners.
  • Complexity in Large-Scale Deployments
    For very large-scale and complex integration needs, managing and deploying Camel routes can become cumbersome without proper tooling and infrastructure.
  • Configuration Management
    Managing configurations across different environments can be challenging, especially without external configuration management tools like Spring Boot or Kubernetes.
  • Limited Native Cloud Support
    While Camel can be deployed in cloud environments, it does not inherently offer all the features needed for cloud-native applications, such as autoscaling and resilience, without additional configuration and components.

Apache Synapse videos

API Facade Pattern with Apache Synapse

Apache Camel videos

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Category Popularity

0-100% (relative to Apache Synapse and Apache Camel)
Web Service Automation
28 28%
72% 72
Data Integration
19 19%
81% 81
ETL
23 23%
77% 77
Open Source
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 Synapse and Apache Camel

Apache Synapse Reviews

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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

Social recommendations and mentions

Based on our record, Apache Camel seems to be more popular. It has been mentiond 13 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 Synapse mentions (0)

We have not tracked any mentions of Apache Synapse yet. Tracking of Apache Synapse recommendations started around Mar 2021.

Apache Camel mentions (13)

  • Understanding AML/KYC: a light primer for engineers
    Seamless integration of AML and KYC solutions with existing systems is critical for effective automation. Use middleware platforms like MuleSoft (commercial) or Apache Camel (open source) to facilitate data exchange or deeper integrations between many disparate systems. Integration testing to ensure faithful and ongoing interoperability between both proprietary and 3rd-party systems should be rigorous and will... - Source: dev.to / 10 months ago
  • 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 / over 1 year 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 2 years 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 2 years 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 2 years ago
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What are some alternatives?

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

Azure Service Bus - Learn how to set up messaging that connects applications and services across on-premises and cloud environments. Tutorials, videos, API references, and more.

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Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

AFSAnalytics - AFSAnalytics.

IBM App Connect - IBM App Connect is the all-in-one integration tool for connecting apps, integrating data, building APIs and acting on events

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.