Your database decision could come back to haunt you
When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision could come back to haunt you appeared first on The New Stack .
When developers rush to build AI prototypes, they often overlook the importance of a robust data infrastructure. This can lead to costly rework and operational overhead when the application moves from prototyping to production. For regulated industries like healthcare, finance, and government, using a database platform that lacks security, compliance, deployment, availability, and reliability features can be a major problem.
While it may be possible to re-platform later, this will incur significant redevelopment work, labor, and operational overhead. Choosing a database that can support both prototyping and production from the start can help avoid these issues. Moving an application from one database platform to another may seem straightforward when the application is still in prototype stages, but the risks become apparent once it goes live.
These risks include wasted time and money, which often don't surface until it's too late to change course cheaply. Phillip Merrick, co-founder and CEO of pgEdge, warns that enterprises may face significant costs if they prototype on developer-friendly platforms without production-ready features. He advises enterprises to choose a platform that meets enterprise-grade requirements from the start, as choosing the wrong platform can lead to additional costs and burdens.
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