Deep-dive guide
Open Source vs Enterprise Licence Simulator: Is Self-Hosting Really Cheaper?
Executive industry analysis
Open source is attractive because the licence line disappears. For a tool with hundreds of seats, the enterprise plan can cost thousands of dollars a month, and the code is available at no charge. The decision seems obvious until the work is counted. Somebody has to install, upgrade, back up, monitor and secure the system, answer user questions and be available when it breaks. That work is performed by people with salaries, and it does not shrink just because the software has no price tag.
The structure of the problem is a trade between a variable cost and a mostly fixed one. The enterprise licence scales linearly with seats. Self-hosting has a large fixed base of operations time, a smaller part that grows with users, and an uncertain tail of incidents. That is why the answer depends on size. A small team pays for the fixed base and saves little. A large organisation spreads the base over many seats and can save a lot, as long as it is willing to own the risk.
The domino model follows this in five steps. The seats and the price per seat set the licence you avoid. The operations and patching hours show the workload. Adding infrastructure, risk and compliance gives the self-host cost per seat. Compared with the licence price this yields a cover ratio, and the remainder is the monthly saving. A rise in the hourly cost of engineers or in the chance of an incident can push the third box above the licence price, and then the saving turns into an extra cost.
The iceberg shows costs that are rarely written down. Above the waterline are operations labour and servers. Below it are security patching and upgrade testing, the expected cost of incidents, audit logs, single sign-on and access reviews that enterprise tiers include, and the internal helpdesk that answers questions with no vendor service level. Each is small on its own. Together they often equal the licence you thought you were avoiding. Use the simulator to find the seat count or hourly rate at which self-hosting stops paying.
Formula and methodology blueprint
The model works per month and measures the saving of self-hosting against the enterprise plan. The licence avoided is seats times price per seat. Self-hosting costs are operations hours times the loaded hourly rate, infrastructure, patching hours that grow with seats, the expected monthly cost of incidents, a per-seat charge for compliance features you must build, and a per-seat charge for internal support. The net result is the licence avoided minus all of these.
- Licence avoided
- L = seats × price per seat
- What the enterprise plan would cost each month.
- Labour
- W = (ops hours + 8 + 0.03 × seats) × hourly rate
- Routine operations plus patching, which has a fixed base and grows with seats.
- Expected incident cost
- E = yearly chance × seats × $400 ÷ 12
- A probability-weighted monthly share of the cost of downtime or a breach.
- Gaps
- G = seats × ($1.5 compliance + $0.8 helpdesk)
- Features and support that the enterprise plan includes and you must supply.
- Net saving
- Net = L − W − infra − E − G
- The monthly result. The breaking point is where this reaches zero.
Cascading elasticity
Operations hours and the loaded hourly rate are the most elastic inputs because they multiply into the largest cost. Seat price and seat count scale the licence side. The incident chance matters less on average but is the one that can ruin a year. Infrastructure is usually the smallest piece, so cutting it rarely changes the answer.
Three real-world case studies
Bootstrapped starter
A small team with a pricey tool
Forty people use a tool that costs sixty dollars per seat. Their engineers spend only five hours a month on it and infrastructure is tiny. Self-hosting saves a modest but real amount. Load it to see how a high licence price can justify self-hosting even for a small group.
Scaling mid-market
A large organisation with a dedicated platform team
Twelve hundred seats at forty-five dollars each, with a platform team that spends ninety hours a month and runs redundant servers. The licence avoided is large and the fixed base is spread across many users. Load it to see the economy of scale that makes self-hosting attractive.
Black-swan crisis
Heavy operations on a cheap licence
Sixty seats priced at fifteen dollars, but the tool takes one hundred fifty hours a month of expensive engineers and carries a high incident risk. The licence would have cost less than the labour. Load it to see self-hosting become the more expensive option.
Industry benchmark matrix
| Metric | Danger zone | Industry average | Top 10% elite |
|---|---|---|---|
| Self-host cost as share of licence price | Above 100% | 60–85% | Below 50% |
| Operations hours per month (mid-size tool) | Above 120 | 20–50 | Below 15 |
| Seats needed to justify self-hosting | Below 40 | 100–300 | Above 500 with a platform team |
| Patch lag for critical fixes | Above 30 days | 7–14 days | Within 48 hours |
| Restore tested in the last quarter | Never | Once a year | Quarterly |
Variables and levers
Seats
Number of people who use the tool. The enterprise licence is billed for each of them.
Lever: Check the break-even seat count before you commit; fixed ops time is spread over more seats, so small teams save least.
Licence price per seat
Monthly price per seat of the enterprise plan you would otherwise buy, after discounts.
Lever: Ask the vendor for volume or annual pricing, because a lower licence makes the build-versus-buy case much weaker.
Operations hours per month
Hours spent on upgrades, backups, monitoring, user requests and troubleshooting, not counting security patching.
Lever: Automate upgrades and backups and use a managed database to cut routine work, since ops hours are the biggest cost.
Loaded cost per engineering hour
Salary plus overhead per hour of the people who will run the system.
Lever: Count the true cost of your engineers, including overhead, because a high hourly rate makes self-hosting expensive.
Infrastructure per month
Servers, database, storage, backups and monitoring needed to host the tool yourself.
Lever: Right-size servers and use reserved capacity, but keep redundancy for anything people depend on daily.
Yearly chance of a costly incident
Your estimate of the chance in a year of a serious outage or security event that the vendor would otherwise have handled.
Lever: Reduce incident risk with tested restores, monitoring and a paid support contract, because one bad day can cost more than a year of licences.
How to use this simulator
- 1Enter the number of seats and the enterprise price per seat from a vendor quote.
- 2Estimate monthly operations hours and your engineers' loaded hourly cost.
- 3Add the infrastructure bill and your honest estimate of the yearly incident chance.
- 4Press Find my breaking point to see how many seats or hours make self-hosting lose.
- 5Compare self-hosting with the hardened version over 24 months, including the set-up cost.
Mistakes to avoid
- Counting only servers. The biggest cost of self-hosting is people's time, which does not appear on any cloud invoice.
- Assuming the first month's effort continues unchanged. Installing is the easy part; upgrades, security fixes and growing usage keep arriving.
- Ignoring who is on call. If one engineer carries the whole system, the cost of a holiday or a resignation is part of the risk.
- Comparing against list price. Enterprise vendors often discount for volume or annual terms, which narrows the saving quickly.
Frequently asked questions
Is open source always cheaper?
No. It removes the licence, not the work of running it. At small scale or with expensive engineers, the labour often exceeds the licence you avoid.
Why is risk included?
A paid plan usually shifts part of the uptime and security burden to the vendor. Self-hosting keeps that burden with you, so the expected cost of incidents belongs in the comparison.
What about features I do not need?
If you do not need audit logs, single sign-on or vendor support, lower the compliance and helpdesk assumptions by changing the inputs that matter to you. The model uses cautious averages.
Can I mix both approaches?
Yes. Many teams use a managed service of an open-source product, which sits between the two. The alternative scenario models a hardened version of self-hosting.
How do I find the breaking point?
Press Find my breaking point. The tool moves each input toward its worse end and reports the value where monthly saving reaches zero.
How accurate is this?
It is an educational model with stated assumptions, not legal or financial advice. Check current licence terms and replace the inputs with your own figures.
This is an educational planning model with stated assumptions. It is not financial, tax or legal advice. Replace the inputs with your own figures and verify important decisions with a qualified professional.