Boomi vs Mulesoft

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Boomi vs Mulesoft

Why iPaaS?

Enterprises today are dealing with large data sets, new cloud services, modern and legacy applications, databases, etc. Companies are struggling to unify data from all systems and to have common insights into their system. With the rise in demand for integrating heterogeneous systems and avoiding data silos, Companies are carefully evaluating Integration Platform as a Service (iPaaS) solutions like Boomi and MuleSoft and migrating their integrations from legacy systems to these cloud-based platforms.

Boomi vs MuleSoft?

Both Boomi and MuleSoft are the market leader in making cloud-based integration solutions easy for organizations. Both tools are built differently and offer different capabilities.

Below are some of the key differences between Boomi and MuleSoft.

Boomi

MuleSoft

Offerings – Application/data integration

– API Management & real-time dashboards

– B2B / EDI Management

– Master data management

– Workflow automation

– Application integration through API-led connectivity

– API design and build capabilities

– API Manager

– Template & Asset management

Platform Offers only On-prem and On-cloud integration solutions Offers on-prem, on-cloud, and even hybrid solutions.
Framework Traditional ETL approach API-Led Connectivity
Coding Low Code / No code makes it a lot easier with build and maintenance. Requires complex coding. Demands a lot of expertise for complicated business logic and multi-level developments
Time to Market Quick & easy with a Low code environment Tough and requires a lot of expertise.
API Management Basic Real-time monitoring is offered which makes it difficult for data traceability. API Manager in MuleSoft provides the ability to monitor data flow in an API network and enhances better end-to-end data traceability
Pricing & Processing capability Pricing based on connections & endpoints Pricing is based on volume in MuleSoft and it offers processing power for the volume.
Transformation & Data mapping Smart data mapping. It has got some pre-built transformations called shapes used for P2P, B2C and B2B integration Laborious data mapping. Mainly used for data migration.
Version Control Built-in but not enterprise-grade 6 different built-in version control tools

 

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