MuleSoft vs Dell Boomi

MuleSoft vs Dell Boomi

Introduction:

An Integration Platform is software that integrates different applications and their services. It is a set of automated tools that integrate software applications that are deployed in different environments.

Dell Boomi 

Dell Boomi Atmosphere is an on-demand multi-tenant cloud integration platform for connecting cloud and on-premises applications and data. It enables customers to design cloud integration processes called Atoms and transfers data between cloud and on-premises applications. Boomi provides an integration platform as a service (iPaas), which enables the connection of applications and data services. It is a low-code development platform. The platform provides API, lifecycle management, and event-driven architecture features for cloud integration. Boomi is well suited for integrating ERP systems such as NetSuite, SAP, Salesforce. As a developer here is the neat thing about Boomi - all the certifications provided by Boomi are free.

 Reference:  https://train.boomi.com/

MuleSoft 

MuleSoft is a data integration platform built to connect a variety of data sources and applications and perform analytics and ETL processes. Mule is a runtime engine of Anypoint Platform, are a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications easily and enables them to exchange data. 

Reference: https://training.mulesoft.com/

MuleSoft vs Dell Boomi

To better understand both offerings let us dig deeper into both these compelling offerings.

 

Feature	MuleSoft	Dell Boomi
Framework	MuleSoft is an API-led network. It can connect across multiple apps and business units	Boomi is used in the traditional ETL Middleware approach
Capability	On-premise, cloud, and hybrid of each	Cloud and on-premise integration solutions only
Connectors: Data Sources and Destinations	Supports around 300 connectors	Supports application and technology connectors. There are 80 application connectors and 22 technology connectors
API-Management	API Manager	Real-Time Dashboard
Development Tools	Anypoint Studio, Anypoint Connectors, Anypoint Design Center, Anypoint Exchange, and Anypoint Management Center	Application/Data Integration, API Management, B2B/EDI Management, Master Data Management, Flow Management
Transformations/Mappings	Handles process executions through processors.	Handles process executions through procedures it calls shapes

Difference Between MuleSoft Component’s and Dell Boomi Shap’s:

MuleSoft		Dell Boomi
Listener	Its request data is used to trigger the flow. You can choose what methods the source accepts, such as GET, POST or a list of methods, and on which path to accept requests, thereby allowing the routing of requests through different flows.	Start Shape	This is the main shape that begins the process flow. there are multiple configuration options available: 1.       Connector 2.       Trading Partner 3.       Data Passthrough 4.       No Data
Transform Message	The Transform Message component converts input data to a new output structure or format. Ø  Using Drag-and-Drop Mappings between these two trees are represented by lines that connect input to output fields.   Ø  Data weave Language ·       Map ·       Map Object ·       Filter ·       OrderBy ·       Pluck etc..	Map shape	Use maps to transform data from one format to another, or more specifically, from one profile to another.
		Map-Function shape	you may want to convert a character to uppercase, change the format of a date or look up a value in a database. There are two main types of functions: 1.       Standard  2.       User-Defined In Custom Scripting: we have to write in       1.Java Script        2.Groovy
Choice Router	The Choice router dynamically routes messages through a flow according to a set of DataWeave expressions that evaluate message content.	Route shape	The Route shape conditionally sends documents through different execution paths based on the value of a specified field.
Scatter-Gather	The Scatter-Gather component is a routing event processor that processes a Mule event through different parallel processing routes that contain different event processors.	Branch shape	The Branch shape is used when you have several actions that you want to execute in sequence. Each branch consists of a separate path that is executed in sequential order. ·       Here we can use branches up to 2 to 25
Sub Flow	Sub Flow doesn’t have Source and process it will work on same app. ·       No Error handling and Exception handling.	Process call shape	The Process Call shape enables you to execute another process from within a process. The subprocess that is called is considered a separate, distinct process execution.
Try Cache	The Try scope enables you to handle errors that may occur when attempting to execute any of the components inside the Try scope.	Try/Catch shape	The Try/Catch shape captures process-level errors or document-level errors for one or more documents that fail during an execution.
Error Handling	Mule throws a system error when an exception occurs at the system level and no Mule event is involved. Ø  During application startup. Ø  When a connection to an external system fails. Types: 1.       Error Handler 2.       On Error Continue 3.       On Error Propagate 4.       Raise Error	Error Handling	Boomi throws a system error when an exception occurs at the system level and no Boomi event is involved. Types: 1.       Process Error 2.       Document Error 3.       Atom Runtime Error
Batch Processing	Batch to process each message in the array/collection in the concurrent/ parallel order. Batch has three phases in Mule: 1.Load And Dispatch 2. Process 3. On Complete	Flow Control shape	The Flow Control shape contains a set of options that allow you to configure how documents are processed within a process execution.
Parse Template	Template is defined as text with embedded Mule expressions that are evaluated and replaced with their result. ·       Using HTML	Message shape	The Message shape generates a free-flow text message from a dynamic or static set of input parameters. ·       Using HTML
Flow Reference	It’s used to call another Flow’s	process call shape	It’s used to call another Flow’s
Scheduler	The Scheduler component enables you to trigger a flow when a time-based condition is met.  1.Fixed Frequency 2. Cron expression		After building and deploying a process, you can schedule it to run automatically.
Metadata	The Transform component accepts input and output metadata for the message payload, a variable or an attribute. Like Schema CSV, JSON, XML etc.	Profile	Using Profile accepts input and output profile for payload, variable or an attribute. Like CSV, JSON, XML etc.

 

You are able to read more about the published Gartner Group survey results here.

Conclusion 

Both Boomi and MuleSoft have great pedigrees; however, Mulesoft has an edge in modern architecture patterns. I also appreciate that MuleSoft’s future with Salesforce is well understood; however, Boomi’s recent acquisition by a private equity firm creates a certain amount of uncertainty and angst.

 

References 

1. https://searchcloudcomputing.techtarget.com/definition/iPaaS-integration-platform-as-a service 

2.   https://www.gartner.com/doc/reprints?id=1-1Z8X5WJH&ct=200615&st=sb

3.   https://www.gartner.com/doc/reprints?id=1-247SMI7U&ct=200922&st=sb

4. https://train.boomi.com/

5. https://training.mulesoft.com/