Alteryx vs Mule ESB

• Alteryx does a great job of allowing more beginner Analysts to automate many of their routine process but also allowing advanced Analysts to ability to leverage deep statistical modelling for predictive analytics.
• Given the visual workflow nature of Alteyrx, the learning curve is not steep.
• The Alteryx Gallery allows non-technical consumers to execute complex workflows by leveraging an intuitive web interface.
• Alteryx allows data scientists to bring their own programming language to Altyerx, such as R or Python.

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• 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.

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• Sometimes the desktop version of authoring tool crashes! It's been unstable in the previous versions but gets better. Even if it doesn't crash, it used to be slow or not responding.
• When running several version of database drivers in local machine or server, it is tricky to set up database connections. Often you have to figure out it by googling the problem and solution. There are not many knowledge bases from Alteryx.
• Alteryx project file creates .bak file automatically. It is useful to prevent for the purpose of back up, sometimes it's not necessary. But it is not changeable for some reason. By default, it always creates backups.

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• 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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• Alteryx does an excellent job of integrating consumer and spatial data to calculate and visualize things like locations within a certain drive-time radius.
• For visualization purposes I had to move the data to excel for some decent graphs.
• It can become very expensive.

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• Overall a great tool for complex integrations

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