In the modern world, it's rare to have the data in the same shape and platform from the beginning till the end of its journey. Yes, some technologies can achieve quite a good range of functionalities but sometimes at the expense of precision, developer experience, or performance. Therefore, to achieve better or faster results, people might select a new tool for a precise task and start an implementation and integration process to move the data around.
This blog post highlights the pros and cons of a "one shoe fits all approach," where one platform is used for all the use cases vs. the "best tool for the job," where various tools and integrations are used to fulfill the requirements.