Whitepaper

Build vs. Buy: The Data Integration and Mapping Platform Decision in the Age of Vibe Coding

Why the Build vs. Buy Decision Matters

AI coding assistants have made it tempting for teams to build their own data integration pipelines instead of buying a platform. But connecting a source and a target is the easy part. Production pipelines demand broad connector coverage, automatic handling of schema drift, and audit-ready governance, none of which a prototype has to prove out. This whitepaper lays out the real cost, risk, and timeline tradeoffs so you can make the call with data instead of guesswork.

What You'll Learn

  • A three-year total cost of ownership model comparing a custom build to Centerprise Standard

  • Why 22.7% of AI-introduced code defects are never fixed, and what that means for a vibe-coded pipeline

  • A side-by-side risk comparison across delivery timeline, cost overrun, and key-person dependency

  • A clear framework for when building your own platform actually makes sense

Who Is This For?

This whitepaper is designed for data engineers, IT leaders, and technical decision-makers evaluating whether to build a custom data integration pipeline or invest in a ready-to-deploy platform like Astera Centerprise.

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