Unilever is a company that houses some of the world’s largest consumer brands such as Lipton, Vaseline, and Dove. With its large and ever expanding portfolio of products, it becomes an increasingly difficult process to integrate systems across seamlessly for business needs like supply chain management and sale processes. Knowing this, Unilever during the last three years started taking steps to decommission its legacy tools while speeding up its integration processes in parallel.
DataWeave, our new data query and transformation language, offers significant performance advantages over Anypoint DataMapper, our earlier data mapping and transformation solution. The below benchmark shows transformations performance using DataWeave and Anypoint DataMapper with payload size of 100KB (1000 records) with simple complexity.
In the Getting Started with DataWeave: Part 1, we introduced you to DataWeave and its canonical format, the result of every expression you execute in the language. We now continue to explore our new transformation engine, aiming to give you enough grounding to tackle real-world use-cases.
As we did in Part 1, we will continue to show the results of each expression in the DataWeave canonical format.
MuleSoft provides the most widely used integration platform for connecting any application, data source or API, whether in the cloud or on-premises. With Anypoint Platform®, MuleSoft delivers a complete integration experience built on proven open source technology, eliminating the pain and cost of point-to-point integration. Anypoint Platform includes CloudHub™ iPaaS, Mule ESB™, and a unified solution for API management™, design and publishing.