MuleSoft is another data integration platform created to connect a variety of data sources, applications and perform analytics, including 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.
MuleSoft is designed around the Mule Enterprise Service Bus (ESB) and their Event Driven Architecture (EDA) to create their Anypoint Platform. As the name implies, the MuleSoft platform connects any data source to any other data source. The platform creates a network of data, applications and devices through APIs. MuleSoft’s expanded view of integration provides 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 to create 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 corporation.
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
With all of these tools, businesses can create dataflows, APIs and 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.
Businesses require more complex analysis on data spread across many sources. The growth of integration platforms such as MuleSoft is largely due to meeting this need without companies investing in large groups of developers or requiring long development cycles to produce results.
- For more details on MuleSoft data integration, see theDataWeave integration page.
- Read about theMule Runtime key concepts.
- See thedata loading infographic.