The Precisely whitepaper clarifies that while the hype around data fabric and data mesh has subsided due to generative AI’s rise, confusion remains about which architectural approach best suits organizations’ analytical needs. Both aim to solve data management challenges like integration, accessibility, and governance but differ fundamentally. Traditional data management methods often result in siloed data and fragmented ownership, impeding decision-making. Data fabric emphasizes a centralized, technology-driven approach, whereas data mesh promotes decentralized, domain-oriented ownership—each addressing modern data complexities differently to enhance analytics innovation.

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