Self-Host vs SaaS

Decision criteria.

Overview

Self-host vs SaaS is the choice of where to run vendor software. Self-host gives maximum control (data residency, network isolation, compliance posture, predictable cost at scale) at the cost of operating the substrate; SaaS gives faster time-to-value (zero infrastructure, vendor-managed updates, predictable per-user pricing) at the cost of giving up that control. The right answer depends on whether control or operational simplicity matters more for the workload.

• Per-vendor decision criteria. Per-team criteria documented. Replaces "we always self-host" or "we always SaaS."
• Self-host: max control. Data residency, network isolation, compliance posture, predictable cost at scale. Default for regulated workloads or scale-driven economics.
• SaaS: faster time-to-value. Zero infrastructure, vendor-managed updates, per-user pricing. Default when ops simplicity dominates.
• Per-vendor choice. Different vendors may pick differently. Document the rationale per vendor.

The approach

Workload-driven choice per vendor, per-team operational fit considered, documented rationale per vendor. The discipline is making the deployment-model choice deliberately rather than defaulting to whatever the vendor demos first.

• Workload-driven. Deployment model per vendor. Reality drives the answer.
• Self-host for control-driven workloads. Regulated industries, data-residency requirements, scale economics. Default when control matters.
• SaaS for speed-driven workloads. Greenfield projects, ops-light teams, workloads where management overhead would dominate. Default when speed matters.
• Operational fit plus documented rationale. Team workflow considered; per-vendor rationale captured. Future migrations have a paper trail.

Why this compounds

The right deployment-model choice compounds across years. Operational patterns and team expertise align with the model; cross-vendor tooling (operational runbooks, capacity planning) gets reused. By year two the deployment-model choice is automatic per vendor.

• Better operational fit. Deployment matches team. Velocity stays high.
• Better cost efficiency. Deployment matches workload economics. Predictable spend at scale.
• Workload-driven decisions. Replaces tribal preference with documented rationale. Quality of choice improves.
• Year-one investment, year-two habit. First decision sets the patterns; subsequent vendors inherit the model.