The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake.
When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing.
A few short years later, disillusionment has set in, with companies turning their backs on data mesh and industry experts writing it off as a fad or declaring it dead.
Amidst all of these conversations, if you are still thinking whether you should adopt the data mesh architecture and wondering if it will survive the test of time, then this post is for you.
Let’s rewind a bit and see how data mesh architecture arose in the first place.
In the late 2010s, many companies were doubling down on migrating data to a data lake and building workflows.
Data lake architecture promised a perfect solution for companies wanting a centralized repository for all data to be used in analysis.
Author's summary: Data mesh architecture faces disillusionment.