Research
The Data Operating System
What investment firms get on day one with Fencore DataHub, and how long it typically takes to handcraft an equivalent in-house, even with AI coding help.
10–15 mo
Happy-path build to match the ops and governance layer
~2×
Time to go-live after you include gathering requirements and changing them later
Day one
What a platform like DataHub delivers on first go-live
Snowflake, Fabric, and Databricks move and store data. They do not give you a data operating system: approvals desks, alert triage, config promotion between environments, mastering into golden records, pipeline designers, and governance that follows the business (role-based access to data in a UI operators can use, and cell-level lineage that tracks values through transforms, not just tables). This analysis maps DataHub capabilities to the business outcomes they deliver, and indicative happy-path build effort to rebuild them in-house with AI-assisted development. DataHub is designed to replace the legacy EDM and hard-coded integration layer, while connecting to the systems that run the firm. Discovering the real operating requirements, and changing them after users first get their hands on the system, often roughly doubles time to production.
Beyond the warehouse
A lakehouse is not a substitute for multi-eye approvals, central alert management, configuration deployment with rollback, or governed master-data workflows.
Day-one operating layer
DataHub ships the desks and controls operations actually run: approvals, alerts, deployment with rollback, mastering into golden records, pipeline design, plus field-level access control and cell-level lineage across pipelines, alerts, and dashboards, not the partial picture you get when logic lives in SQL or Python outside the warehouse catalog. Configure the common case without code, then use versioned source connectors or step plugins for genuinely firm-specific edge cases.
Realistic in-house effort
Happy-path coding of that layer is typically 10–15 months for a small team with AI help, assuming the requirement is already known and stable. Discovery and post-go-live change often roughly double calendar time to a system operations will actually use.
Read the full capability and effort analysis online.
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