What users are saying about

Apache Kafka

24 Ratings

Mule ESB

20 Ratings

Apache Kafka

24 Ratings
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Score 8.6 out of 101

Mule ESB

20 Ratings
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Score 8.7 out of 101

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Likelihood to Recommend

Apache Kafka

Apache Kafka is extremely well suited in near real-time scenarios, high volume or multi-location projects. It can solve escalation problems for a fraction of the cost other solutions do and it has the flexibility of open source scenarios.
Juan Francisco Tavira profile photo

Mule ESB

Well Suited for:
  • REST APIs.
  • Rapid API Development.
  • Most suitable for integration with SFDC.
  • Batch processing.
  • Parallel processing.
Less appropriate for:
  • Integration with Database.
  • Exposing SOAP services.
  • Small organizations, because it is super costly.
Deepak Kushwaha profile photo

Pros

  • High volume/performance throughput environments
  • Low latency projects
  • Multiple consumers for the same data, reprocessing, long-lasting information
Juan Francisco Tavira profile photo
  • 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.
Deepak Kushwaha profile photo

Cons

  • Still a bit inmature, some clients have required recoding in the last few versions
  • New feaures coming very fast, several upgrades a year may be required
  • Not many commercial companies provide support
Juan Francisco Tavira profile photo
  • Anypoint Studio is the primary IDE to do the Mule ESB development. Although Anypoint Studio is a good tool, and makes the life of a developer very easy with its drag and drop features, it seems too slow at times. Running a slightly large application on the local machine is a bit of a pain because of the slowness of the IDE.
  • I personally feel the Database connector which Mule ESB provides is not very easy to use. It does not fetch metadata from the database, which complicates the mapping. Calling a stored procedure from Mule ESB is a very hectic task because one haa to write DTO classes for complex data types.
  • Documentation provided by Mulesoft doesn't seem complete and sufficient. Sometimes it's very hard understand the configuration of a particular component because most of the documentation doesn't have detailed description.
Deepak Kushwaha profile photo

Likelihood to Renew

Apache Kafka9.0
Based on 1 answer
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
Juan Francisco Tavira profile photo
No score
No answers yet
No answers on this topic

Alternatives Considered

Kafka is faster and more scalable, also "free" as opensource (albeit we deploy using a commercial distribution). Infrastructure tends to be cheaper. On the other hand, projects must adapt to Kafka APIs that sometimes change and BAU increases until a major 1.x version comes out and adds stability to the product.
Juan Francisco Tavira profile photo
I have worked with Oracle SOA Suite and I think if you have APIs with most of the integration with databases (majorly Oracle DB) then you should use Oracle SOA Suite instead of Mule. Oracle SOA Suite is most suitable to call most of the DB objects (i.e. procedures , functions, etc.)Dell Boomi is also a good alternative for Mule ESB. It also comes with a vast number of components for rapid API development. Most importantly, It is featured as a leader in Gartner's magical quadrant of LPass tools.
Deepak Kushwaha profile photo

Return on Investment

  • Easier deployment and horizontal scalability
  • Messaging cost reduction
  • Developments require adaptation and some paradigm shift to interoperate with Kafka
Juan Francisco Tavira profile photo
  • Overall a great tool for complex integrations
Ankit Goyal profile photo

Pricing Details

Apache Kafka

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Mule ESB

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details