# ERP Deployment Models Comparison: SaaS, Hosted, On-Premises and Hybrid

> Source: https://netray.co/tools/erp-deployment-models-comparison-reference
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

A searchable comparison of ERP deployment models showing who runs the infrastructure, who controls upgrades and what customization is realistic.

## Category

erp-migration

## Audience

- CIO
- ERP project lead
- IT architect

## Tool

**Kind:** worksheet

**Mode:** reference

**Columns:**

#### Deployment model

**Key:** model

**Type:** text

#### Who runs infrastructure

**Key:** infra

**Type:** text

#### Upgrade control

**Key:** upgrades

**Type:** text

#### Customization room

**Key:** custom

**Type:** text

#### Typical fit

**Key:** fit

**Type:** text

#### Key risk to test

**Key:** risk

**Type:** text

**Rows:**

**Model:** Multi-tenant SaaS

**Infra:** Vendor

**Upgrades:** Vendor schedule, limited deferral

**Custom:** Configuration and extension points only

**Fit:** Standard processes, small IT team

**Risk:** Forced release changes and feature roadmap dependency

**Model:** Single-tenant SaaS

**Infra:** Vendor, dedicated instance

**Upgrades:** Vendor schedule, some timing choice

**Custom:** Configuration plus governed extensions

**Fit:** Mid-size firms wanting isolation

**Risk:** Extension compatibility across versions

**Model:** Vendor-hosted private cloud

**Infra:** Vendor or its hosting partner

**Upgrades:** Customer decides within support window

**Custom:** Broad, close to on-premises

**Fit:** Heavily customized estates moving off own data center

**Risk:** Hosting SLA and exit terms

**Model:** Partner-hosted ERP

**Infra:** Reseller or managed service provider

**Upgrades:** Agreed with partner

**Custom:** Broad

**Fit:** Firms wanting a managed service on a traditional product

**Risk:** Dependence on one partner's capability

**Model:** Public cloud IaaS, self-managed

**Infra:** Customer on a hyperscaler

**Upgrades:** Customer

**Custom:** Broad

**Fit:** Teams with strong cloud operations skills

**Risk:** Operating cost and skills burden

**Model:** On-premises

**Infra:** Customer

**Upgrades:** Customer

**Custom:** Broadest

**Fit:** Regulated or latency sensitive sites

**Risk:** Hardware refresh, patching and security workload

**Model:** Hybrid (cloud core, local edge)

**Infra:** Split

**Upgrades:** Split

**Custom:** Core limited, edge flexible

**Fit:** Shop floor systems that must keep running offline

**Risk:** Integration complexity between layers

**Model:** Two-tier ERP

**Infra:** Split across corporate and subsidiary

**Upgrades:** Per tier

**Custom:** Per tier

**Fit:** Large groups with smaller subsidiaries

**Risk:** Master data and intercompany consistency

**Model:** Air-gapped or sovereign deployment

**Infra:** Customer, no external network path

**Upgrades:** Customer, offline media

**Custom:** Broad

**Fit:** Defense and classified programs

**Risk:** Patch delivery and vendor support logistics

**Model:** Edge plus central MES

**Infra:** Customer at plant, cloud for analytics

**Upgrades:** Customer for edge

**Custom:** Broad at the edge

**Fit:** Plants with intermittent connectivity

**Risk:** Data synchronization conflicts

**Model:** Managed on-premises

**Infra:** Customer site, run by a provider

**Upgrades:** Agreed with provider

**Custom:** Broadest

**Fit:** Teams outsourcing operations only

**Risk:** Provider continuity and knowledge transfer

**Model:** Subscription from vendor, customer data center

**Infra:** Customer

**Upgrades:** Customer

**Custom:** Broad

**Fit:** Firms wanting opex pricing without moving hosting

**Risk:** Terms differ by vendor, confirm entitlements

**Notes:** Generalized comparison. Vendors package these models differently, so confirm upgrade policy, customization rules and exit terms for the specific product you are evaluating.

## Content

**Intro:** Deployment is often decided before requirements are finished, and then regretted. This table lays out the common ERP deployment models side by side so the infrastructure, upgrade and customization trade-offs are visible during selection.

**Sections:**

#### How to use the comparison

**Body:** Filter by the model a vendor proposes and read across the row. Then ask the vendor to confirm each cell in writing for its own product. Pay special attention to the upgrade column: in a multi-tenant service you accept the vendor's calendar, while in a hosted or on-premises model you decide when to upgrade but also own the testing effort that follows every upgrade.

#### Matching the model to your constraints

**Body:** Start from non-negotiables rather than preferences. Export-controlled data, customer contracts that restrict hosting location, unreliable plant connectivity and heavy legacy customization all narrow the field quickly. List those constraints first, remove models that fail them, and only then compare cost. This prevents spending weeks scoring options that legal or security would block later.

**Bullets:**

- Data residency and export control obligations
- Plant network reliability and offline needs
- Size and skills of your internal IT team
- Volume of customization you must keep

#### Total effort, not just price

**Body:** A cloud subscription removes infrastructure work but adds integration, release testing and governance work. An on-premises model keeps control but needs patching, backups, disaster recovery drills and hardware renewal. Estimate the staff hours for each model, not just the license fee, and include the cost of testing every vendor release in a SaaS model.

#### Common mistakes

**Body:** Teams frequently equate hosted with SaaS and assume they will get automatic upgrades, when a hosted traditional product still needs a project for each version. Others underestimate the integration work between a cloud core and plant-level systems. Ask each vendor for a reference customer running the exact model you intend to buy.

**Cta:** If air-gapped, on-premises or hybrid deployment is on your shortlist, Netray can discuss how AI and reporting layers can run inside the same boundary. The comparison itself needs no contact.

**Faq:**

#### What is the difference between hosted and SaaS ERP?

**Answer:** SaaS is a vendor-operated service where all customers share a managed release cycle, usually with limited customization. Hosted ERP runs a traditional product on someone else's infrastructure, so you typically still plan and test your own upgrades.

#### Is on-premises ERP still a valid choice?

**Answer:** Yes, for regulated, air-gapped or latency sensitive environments and for estates with heavy customization. The trade-off is that your team owns infrastructure, security patching, backup and upgrade projects.

#### What is two-tier ERP?

**Answer:** Two-tier ERP uses a large corporate ERP for headquarters and a separate, lighter system for subsidiaries or plants, connected by integration. It reduces cost at small sites but requires disciplined master data and intercompany handling.

#### How does deployment affect customization?

**Answer:** Multi-tenant SaaS generally limits you to configuration and published extension points. Hosted, self-managed and on-premises models allow deeper code-level changes, which increases flexibility and also upgrade effort.

## Search terms

erp deployment models, saas vs on-premise erp, multi-tenant vs single-tenant erp, hosted erp vs cloud erp, hybrid erp deployment, two-tier erp, air-gapped erp, erp deployment options comparison

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