The Data Mesh hype could be your next costly mistake

In our industry, it's easy to get swept up in the latest buzzwords and trends. Remember the rush to adopt microservice architectures? Many companies jumped on that bandwagon without fully understanding whether it was the right fit for their needs.

I've witnessed firsthand how young startups, in particular, struggled after embracing microservices too quickly. Teams stretched thin found themselves juggling dozens of services, leading to development fatigue and missed opportunities for simplicity. In many cases, a monolithic or a simpler service-oriented architecture would have been a better starting point.

Now, I see the same pattern emerging with Data Mesh. While it promises a lot, it’s not a one-size-fits-all solution. Adopting a Data Mesh without fully grasping the specific problems it solves—and the challenges it introduces—can do more harm than good.

To be clear, I’m a strong advocate for both microservices and Data Meshes when they are the right solution for the right context. But they’re not silver bullets. Company size, stage, culture, and specific needs all play a crucial role in determining the best approach.

Instead of chasing trends, let’s focus on evaluating technology based on its ability to solve real-world problems. What’s your take?

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