When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, and those decisions can come back to haunt you if they lead you to make flippant decisions about data infrastructure. 

For smaller, less-regulated startups building SaaS or internal applications, the consequences may not be as dire. Wherever you start building, you can usually keep running there even when applications move into production. 

But for large-scale enterprises operating in highly regulated environments — think healthcare, finance, government — some developer-friendly database platforms simply can’t meet the security, compliance, deployment, availability, and reliability requirements that emerge when it’s time to shift into production. 

Yes, you can re-platform. But it’ll cost you in redevelopment work, labor, and operational overhead. Choosing a database that can support both prototyping and production from Day 1 could let you skip those headaches altogether. 

Moving an application from one database platform to another as developers move prototypes into production may not seem like a particularly arduous transaction. After all, since nothing’s in production yet, there’s no real risk of downtime. That changes for teams that don’t discover the mismatch until after launch.

But the risks lie elsewhere, largely in wasted time and money — and they usually don’t reveal themselves until it’s too late to change course cheaply. 

When asked what happens when enterprises prototype on developer-friendly platforms without production-ready security, compliance, and deployment flexibility, Phillip Merrick , co-founder and CEO of pgEdge , tells The New Stack they may be looking at significant, costly rework:

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