The Sovereign Farm Data Architecture: An Enterprise Blueprint
A reference architecture for customer-owned farm data fabrics.
Abstract
Data sovereignty is the architectural choice with the longest tail of consequences in any enterprise AgriTech program. The decision is usually framed as a trade-off between convenience (let the platform vendor hold the data) and control (own the data outright). Framed that way, convenience usually wins. Framed correctly — as a decision about whether the operation will, in ten years, own the asset that compounds — control should usually win.
This blueprint documents the reference architecture JMJ deploys for customer-owned farm data fabrics. It covers the core stack (PostgreSQL + PostGIS + TimescaleDB), the integration patterns (open API contracts mediating ERP, equipment, analytics, and AI workloads), the deployment topology (customer VPC with hybrid edge), and the migration path from SaaS-locked deployments. It includes FedRAMP-aligned variants for federal-adjacent operators and cost/timeline estimates by operation scale.
The blueprint is intended to be specific enough that a competent enterprise architect can use it as a starting reference, and opinionated enough to be useful in the meetings where the architectural decisions actually get made. It is not vendor-neutral — we have views on which components compose well and which don't — and the views are documented with the reasoning behind them.
Table of contents
- 1. Why sovereignty matters
- 2. Architectural principles
- 3. The reference stack
- 4. Integration patterns
- 5. Migration from SaaS-locked deployments
- 6. FedRAMP-aligned deployment paths
- 7. Cost and timeline estimation
Who this is for
CTO, CIO, head of data, enterprise architect
