When I talk with business leaders about their ERP systems, one assumption comes up again and again: keeping things on-premises must be cheaper. The servers are already in place, the IT team knows how to manage them, and the costs feel straightforward.
But “straightforward” isn’t the same as “low.” For teams running ERP on their own metal—whether that’s a colocation cage or a small server room—the run bill piles up: hosting fees, infrastructure licenses, backups/DR, security, and labor (often via an MSP), plus the very real cost of downtime.
Stack that against a SaaS ERP like Dynamics 365 Business Central (D365 BC)—with hosting, redundancy, and updates included—and the math often flips to the cloud, where the Cloud ERP Cost Benefits become clear.
What Costs are Easy to Miss with On-prem ERP?
The run bill is real; the gap is accounting—costs get bundled, pushed to other budgets, or skipped (like offsite copies and restore tests), especially in colocation or managed data centers.
Why these costs slip the budget
- Bundled invoices in colocation/managed hosting hide line items (rack/power commitments, hands-on help fees, internet bandwidth, and data you move out of the data center).
- Split budgets mean infrastructure licenses and security tools live in IT, while the ERP budget only sees application support.
- MSP “all-in” retainers often exclude projects like major upgrades, hardware refreshes, or disaster-recovery drills—and after-hours work is usually billed separately.
- Capital vs operating expenses lead to hardware getting capitalized, while ongoing operations, security, and DR tools hit operating budgets elsewhere.
- Missing practices stay invisible until there’s an incident: no offsite copies, no encryption, no regular restore tests, and no clear targets for how much data can be lost or how long systems can be down.
Refresh and upgrade reality
Every 3–5 years brings hardware refresh and major upgrade projects: procurement, installation, testing, and cutovers—not just a single CAPEX line. That work also pulls in infrastructure licenses, labor (internal or MSP), and planned downtime windows.
How Do Maintenance, IT Staffing, and Downtime Impact the Real Cost of On-prem Servers?
Across mid-market environments, three levers do most of the work: maintenance & upgrade cycles, labor, and risk & downtime. Each one shows up in dollars—and in people’s time and attention.
Maintenance & upgrade cycles
Ongoing care. OS/database patching, firmware updates, monitoring, and routine backups don’t stop; they require steady time and maintenance windows.
Planned projects. Every 3–5 years, hardware refresh and major application upgrades bring procurement, installation, testing, and a switchover window—plus coordination across IT, MSPs, and business users.
Compatibility. Upgrades ripple into extensions, custom integrations, device workflows (printers/scanners), and reporting; someone owns sandbox testing and signoff.
Side effects. Even smooth upgrades pull people off improvement work—analytics, automation, and process fixes.
Labor (internal or MSP)
Who does the work? Some teams staff internally; others lean on an MSP. Either way, labor shows up—retainers typically exclude projects (refresh, upgrades, DR drills) and after-hours windows.
Reactive load. Unplanned tickets (performance hiccups, storage saturation, certificate issues) add noise and context switching.
Business time, too. Super users and department leads spend hours in user acceptance testing, go/no-go calls, and post-upgrade cleanup. That’s real cost, even if it isn’t in the IT budget.
Risk & downtime (outage + recovery)
What “downtime” really means: It’s the cost of not being able to do work—production that doesn’t run, orders that don’t ship, invoices that don’t go out, projects that don’t move.
Two places the cost shows up:
- While you’re down (outage): lost margin from work not done, idle labor or overtime to catch up, and expedite/penalty fees.
- Around the outage (recovery): restore from backup, re-enter/reconcile data, incident response/forensics, cleanup, and communications.
A simple way to estimate it: Downtime cost per hour ≈ lost margin + labor + expedite/penalties + recovery. (Use real numbers: throughput/hour × margin per unit, typical staffing, typical fees.)
Why incidents linger: Missing practices (no offsite copies, no encryption, no regular restore tests) extend recovery. Even when recovery is well-rehearsed, it still consumes time, tools, and budget.
Common mid-market triggers: hardware failure, storage thresholds, patching that doesn’t roll back cleanly, network/identity outages, malware.
A Tuesday in Ops. Storage hits a threshold during month-end. Tickets spike, batch jobs back up, and a planned workflow demo is paused to triage. Nothing “breaks,” but two analysts lose a day, and the MSP bills an after-hours window to clear it.
What to capture in budgets (quick checklist)
- Maintenance windows and project time (internal + MSP)
- Backup software/services and regular restore drills
- A realistic outage + recovery line item
Is SaaS Really Cheaper Than On-prem Over a 3-5 Year Period, Even When You Include Subscription Fees?
With the drivers on the table, the comparison is simple: total the 3–5 year run cost for on-prem and stack it next to the 3–5 year subscription for SaaS.
On-prem TCO (5 years). Hosting (colo/private cloud), infrastructure licenses, hardware amortization and refresh projects, security/DR tooling, labor (internal or MSP), and a realistic outage + recovery line item. Upgrades land as lumpy projects that borrow nights/weekends and pull people off improvement work.
SaaS TCO (5 years). Subscriptions by user/device, optional storage or extra environment addons, and a light, scheduled testing effort for extensions/integrations during release windows. Hosting, redundancy, backups, and patching are included—turning “surprise” spends into a steady, forecastable run rate.
My north star with clients: in a perfect world we’d spend zero on support and upgrades and all of our time making the business better. The next best thing is making the unavoidable run cost as low and predictable as possible.
What we see in GP/NAV → Business Central migrations. Organizations moving from legacy systems like Microsoft Dynamics GP or NAV to Dynamics 365 Business Central in the cloud consistently report reduced infrastructure costs, fewer outages, and an IT staff that can shift from constant troubleshooting to strategic projects.
In one case, a manufacturer that used to budget tens of thousands annually for server maintenance and emergency support redirected that spend and time into analytics dashboards—giving sales managers real-time insight into performance.
How to run the math. Start with last year’s actuals.
- For on-prem, spread capital over five years, then add recurring items and project labor.
- For SaaS, seats × rate + known addons + a modest test allowance per release.
The biggest swing factors are labor and downtime; when you price those honestly, SaaS usually wins—and the Cloud ERP Cost Benefits show up quickly on a much steadier curve.
Do SaaS Vendors Really Include Enterprise-Level Security, Compliance, Backups, and Updates?
Yes—and this is one of the most overlooked cloud ERP cost and risk benefits. With a SaaS ERP like Dynamics 365 Business Central, enterprise-grade security, compliance attestations, backups, and platform updates are included in the subscription and delivered on a schedule. That shifts a meaningful chunk of run cost and variability off your plate.
What’s included. The vendor operates the service: hosting and geographic redundancy, platform patching, regular backups under a published policy, continuous monitoring/vulnerability management, and audited compliance programs that most midmarket teams would struggle to replicate.
What you still own. Identity and access (MFA/SSO and role design), your network and endpoints, retention and data loss prevention choices, and brief validation of extensions/integrations during release windows—plus operational monitoring of the workflows you build on top.
Why it matters for predictability. In on-prem/colo setups, every patch, upgrade, or new requirement adds tools, labor, and after-hours windows; the more regulated the business, the more those costs balloon.
In SaaS, platform work is centralized and scheduled. Your team budgets small, recurring validation windows instead of big, lumpy projects—lower cost, far steadier.
For a deeper dive, see: Cloud ERP Security vs OnPrem: Why Your Business May Be at Risk.
What Have Real Users Experienced When Migrating from On-prem to Cloud/SaaS in Terms of Cost Savings?
Less firefighting, more forward motion. Admin time shifts from after-hours maintenance to analytics, automation, and process improvements.
Predictable run cost and calendar. Subscriptions replace lumpy hardware buys and upgrade projects. Surprise MSP hours and emergency parts become rare; testing fits into planned release windows.
Upgrades without the drama. Platform updates are incremental; extensions and integrations are validated in days, not months.
Resilience by default. Built-in redundancy and vendor-managed backups raise the floor. When something does go wrong, the work usually centers on identity/network or an integration—not rebuilding servers.
Real-world example. A midmarket financial organization that was diligent about upgrades and had a well-tested DR posture moved from Dynamics GP on-prem/colo to SaaS. Even after factoring in migration costs, SaaS became less expensive by year two—and costs remained steadier from then on.
Bringing it All Together: The Real Cloud ERP Cost Benefits
When you run the numbers honestly, the pattern is consistent. Implementation effort is similar either way; the difference shows up in run cost, risk, and predictability.
On-prem accumulates hosting, infrastructure licenses, security/DR tooling, labor, outage exposure, and periodic upgrade projects.
SaaS—particularly Dynamics 365 Business Central—packages hosting, redundancy, backups, and patching into the subscription and converts upgrades into scheduled waves, making the Cloud ERP Cost Benefits both measurable and predictable.
Predictability is the multiplier. Fewer ad hoc projects and after-hours windows mean more time for improvement work—analytics, automation, process changes—the things that move the business forward.
My north star remains the same: get support/upgrade effort as low and predictable as possible so the team can invest in progress.
Cost isn’t the only gain. Cloud ERP also unlocks capability headroom: tighter Microsoft 365 integration, Power Platform extensibility, real-time reporting, and emerging AI/Copilot features—without the overhead of running the platform yourself. (For more on the upside, see Drive Growth with Advanced Analytics in Business Central.)
Ready to see what the move could look like for your organization? Schedule a discovery call today.
About the Author
Adam Drewes is the Chief Technology Officer at Kopis, where he helps companies make smarter software decisions that align with their business goals, whether that means deploying proven tools or building custom solutions that protect their competitive edge.
With more than two decades in the software services space, Adam brings a rare mix of technical depth and business insight to every conversation. He’s endlessly curious about how companies operate, what drives their success, and how the right technology choices can accelerate their growth.
