Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Camel
Score 7.5 out of 10
N/A
Apache Camel is an open source integration platform.N/A
Google Cloud Run
Score 8.7 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.N/A
Mule ESB
Score 7.0 out of 10
N/A
Mule ESB, from Mulesoft, is an open source middleware solution.N/A
Pricing
Apache CamelGoogle Cloud RunMule ESB
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache CamelGoogle Cloud RunMule ESB
Free Trial
NoYesNo
Free/Freemium Version
NoYesNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache CamelGoogle Cloud RunMule ESB
Considered Multiple Products
Apache Camel

No answer on this topic

Google Cloud Run

No answer on this topic

Mule ESB
Chose Mule ESB
It doesn't have API . We have to go for another API manager. But in Mule, it has both API manager and ESB
Features
Apache CamelGoogle Cloud RunMule ESB
Container Management
Comparison of Container Management features of Product A and Product B
Apache Camel
-
Ratings
Google Cloud Run
7.3
17 Ratings
11% below category average
Mule ESB
-
Ratings
Security and Isolation00 Ratings8.117 Ratings00 Ratings
Container Orchestration00 Ratings7.716 Ratings00 Ratings
Cluster Management00 Ratings6.41 Ratings00 Ratings
Storage Management00 Ratings2.71 Ratings00 Ratings
Resource Allocation and Optimization00 Ratings8.517 Ratings00 Ratings
Discovery Tools00 Ratings7.413 Ratings00 Ratings
Update Rollouts and Rollbacks00 Ratings8.316 Ratings00 Ratings
Self-Healing and Recovery00 Ratings8.614 Ratings00 Ratings
Analytics, Monitoring, and Logging00 Ratings8.117 Ratings00 Ratings
User Ratings
Apache CamelGoogle Cloud RunMule ESB
Likelihood to Recommend
7.9
(11 ratings)
8.6
(17 ratings)
9.8
(5 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
7.7
(2 ratings)
-
(0 ratings)
Availability
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Performance
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Configurability
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Product Scalability
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Professional Services
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Vendor pre-sale
-
(0 ratings)
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache CamelGoogle Cloud RunMule ESB
Likelihood to Recommend
Apache
Message brokering across different systems, with transactionality and the ability to have fine tuned control over what happens using Java (or other languages), instead of a heavy, proprietary languages. One situation that it doesn't fit very well (as far as I have experienced) is when your workflow requires significant data mapping. While possible when using Java tooling, some other visual data mapping tools in other integration frameworks are easier to work with.
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Google
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
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Salesforce
If you’re bringing anything into Salesforce you should just invest now into Mule, you will get your money’s worth and find a myriad of uses to build APIs between many other systems. Once you build a component you can easily reuse it as a building block to attach to another source/destination. This makes it easy to ramp up quickly and spread usage of Mule throughout your enterprise. A good value for medium to large companies, but probably cheaper to outsource your job to a consulting firm if you are smaller.
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Pros
Apache
  • Camel has an easy learning curve. It is fairly well documented and there are about 5-6 books on Camel.
  • There is a large user group and blogs devoted to all things Camel and the developers of Camel provide quick answers and have also been very quick to patch Camel, when bugs are reported.
  • Camel integrates well with well known frameworks like Spring, and other middleware products like Apache Karaf and Servicemix.
  • There are over 150 components for the Camel framework that help integrate with diverse software platforms.
  • Camel is also good for creating microservices.
Read full review
Google
  • Auto scaling is the best one
  • provide direct VPC connectivity and rigid network
  • Cloud SQL and Pub/Sub services
  • Handling latency issues
Read full review
Salesforce
  • It is best suited for Rest API development. Mule ESB uses RAML as an API descriptor which is less complex and easy to understand. RAML is an open standard majorly supported by Mulesoft. Once RAML is developed, it is very easy (a few clicks)to create flows corresponding to the resources defined in the RAML. One can also include JSON schema validation in RAML, and with the use of APIkit router, Mule ESB makes the request validation very easy (it's automatic basically.)
  • Mule ESB comes with a large spectrum of community and enterprise connectors. We have connectors for all the major platforms like Facebook, Twitter, Salesforce, SAP, etc. This enables Mule ESB to integrate with the other systems in a faster and more robust way. Mule ESB has many components to fulfill the requirements of each integration (for example batch processing, parallel processing, choice, etc.)
  • Mule API gateway is one of the best tools (modules) of Mulesoft's offering. It supports API governance and management very well. One can easily enforce policies on their APIs with API gateway. It enables some of the must-have features in an API solution (i.e. throttling, oAuth, access levels, etc.)
  • Implementing a CI/CD (DevOps) environment for Mule ESB is a very easy task. Mule majorly uses MAVEN as its build tool, which in turn makes it best suitable for CI/CD approach. Mule also provides MAVEN plugins for auto deployments to the servers. Mule also has a best Unit testing module which is MUnit. MUnit can be used for both Unit and Functional testing, and it is easy to write and generates coverage reports in various formats.
Read full review
Cons
Apache
  • didn't work well when our developers tried to transform heavy data sets
  • Apache Camel's whole logic is based on java so team needs to have a great skill set in java
  • if there are a handful of workflows then Apache Camel's full potential can't be realized
Read full review
Google
  • The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
  • More integrations with container registry providers (ECR, dockerhub)
  • Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate
Read full review
Salesforce
  • Make sure to not over-engineer shared components. It can complicate development
  • Create a roadmap for where you are going - if not, you may miss components
  • I suggest getting support, otherwise it could be a difficult learning curve
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Likelihood to Renew
Apache
No answers on this topic
Google
We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features
Read full review
Salesforce
No answers on this topic
Usability
Apache
No answers on this topic
Google
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
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Salesforce
No answers on this topic
Reliability and Availability
Apache
No answers on this topic
Google
Not seen any major issues when we run applications its good
Read full review
Salesforce
No answers on this topic
Performance
Apache
No answers on this topic
Google
Initially we felt slow but slowly it picked up and easy to manage
Read full review
Salesforce
No answers on this topic
Implementation Rating
Apache
No answers on this topic
Google
I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical
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Salesforce
No answers on this topic
Alternatives Considered
Apache
If you are looking for a Java-based open source low cost equivalent to webMethods or Azure Logic Apps, Apache Camel is an excellent choice as it is mature and widely deployed, and included in many vendored Java application servers too such as Redhat JBoss EAP. Apache Camel is lacking on the GUI tooling side compared to commercial products such as webMethods or Azure Logic Apps.
Read full review
Google
AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.
Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.
Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.
Read full review
Salesforce
It doesn't have API . We have to go for another API manager. But in Mule, it has both API manager and ESB
Read full review
Contract Terms and Pricing Model
Apache
No answers on this topic
Google
Not part of purchase.
Read full review
Salesforce
No answers on this topic
Scalability
Apache
No answers on this topic
Google
It has good auto scale feature and reliable also
Read full review
Salesforce
No answers on this topic
Professional Services
Apache
No answers on this topic
Google
We have very good support when needed
Read full review
Salesforce
No answers on this topic
Return on Investment
Apache
  • Very fast time to market in that so many components are available to use immediately.
  • Error handling mechanisms and patterns of practice are robust and easy to use which in turn has made our application more robust from the start, so fewer bugs.
  • However, testing and debugging routes is more challenging than working is standard Java so that takes more time (less time than writing the components from scratch).
  • Most people don't know Camel coming in and many junior developers find it overwhelming and are not enthusiastic to learn it. So finding people that want to develop/maintain it is a challenge.
Read full review
Google
  • Built in support for auto scaling helps reduce operational overhead
  • Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
  • Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform
Read full review
Salesforce
  • Overall a great tool for complex integrations
Read full review
ScreenShots