What is MuleSoft?

byAlooma Team
Updated Dec 14, 2017

MuleSoft is a data integration platform built to connect a variety of data sources and applications, and perform analytics and ETL processes. MuleSoft has also developed connectors for SaaS applications to allow analysis on SaaS data in conjunction with cloud-based and traditional data sources.

The MuleSoft Anypoint platform is designed around the Mule Enterprise Service Bus (ESB) and Event Driven Architecture (EDA). The platform creates a network of data, applications, and devices through APIs. MuleSoft's expanded view of integration provides the flexibility to integrate new technologies without custom coding each new integration.

The Anypoint Platform runs on the Mule runtime engine and a variety of pre-built connectors for common databases, applications, protocols, and APIs.

This architecture follows the current data integration trend of creating building blocks of connectors, APIs, and dataflows which simplify integration. Businesses can connect third-party applications, SaaS offerings, databases, cloud storage, and in-house data sources to analyze and mine data across the company.

MuleSoft also provides a developer’s kit to create custom connectors. These can be used with the Studio graphical user interface, dataflow, and API designer kits to create integrations and analytics to meet business needs.

The DataWeave data language is designed specifically for data integration. MuleSoft developed DataWeave to simplify data analysis, transformations, queries and normalization. Since it is integrated with the rest of the MuleSoft platform, pre-built templates can be used for complex analysis.

MuleSoft and ETL

These tools enable businesses to create dataflows and APIs and to simplify data mappings and transformations for custom ETL processes. These can be combined with the MuleSoft management center to perform complex analytics on data, APIs and applications.

For example, using MuleSoft a business could:

  • Use the pre-built connectors to integrate data from Salesforce, Google Cloud Storage, and Oracle databases.
  • Create a real-time data flow for streaming Salesforce data.
  • Use DataWeave templates to transform Oracle data to integrate with Salesforce customer data.
  • Perform analytics and queries on the combined customer data to discover customer growth trends.
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