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Decimal data types offer high precision and are particularly advantageous for financial calculations where rounding errors can lead to significant discrepancies. They ensure accurate representation of decimal values without the pitfalls of binary floating-point arithmetic. However, their disadvantages include increased storage requirements and potentially slower computational performance compared to binary types, which can impact efficiency in large-scale applications. Additionally, not all programming languages or databases support decimal types natively, which may lead to compatibility issues.

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