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The Sovereign Farm Data Architecture
30 pages
TECHNICAL

The Sovereign Farm Data Architecture: An Enterprise Blueprint

A reference architecture for customer-owned farm data fabrics.

PAGES · 30PUBLISHED · January 2026

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. 1. Why sovereignty matters
  2. 2. Architectural principles
  3. 3. The reference stack
  4. 4. Integration patterns
  5. 5. Migration from SaaS-locked deployments
  6. 6. FedRAMP-aligned deployment paths
  7. 7. Cost and timeline estimation

Who this is for

CTO, CIO, head of data, enterprise architect