Burlington, Canada
Server infrastructure for Travel & Tourism Businesses in Burlington
Most Travel & Tourism Businesses outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Travel & Tourism business in Burlington that is about Single Core, 8 GB of memory and 80 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Burlington. Your real figure depends on your connection and route, and lands inside this range.
Choose the infrastructure for your workload
Three sizes of business, each sized from an assumed traffic figure rather than a measured one. If you know your own numbers, tell us and the estimate changes with them.
Small Travel & Tourism
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.5 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Travel & Tourism Most likely here
11–50 people · ~50,000 visits a month
$97.40 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 80 GB storage
- Managed
About 5.4 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Travel & Tourism
51+ people · ~500,000 visits a month
$296.05 USD USD
per month · VDS
- 4 Cores
- 24 GB RAM
- 250 GB storage
- Managed
About 54.0 requests a second at peak, holding roughly 16 GB of working data.
Configure this build →These figures are assumptions stated out loud, not predictions about your business. Memory, cores and disk can all be raised on the same server later, usually within the hour, with no rebuild and no new IP address — so starting one size below the estimate is normally the cheaper mistake.
Which tiers suit Travel & Tourism Businesses
Including the ones that do not, and why — that is usually the more useful half.
| Infrastructure | Verdict | Why |
|---|---|---|
| Shared Hosting Managed space on a shared server | Workable | Workable for a single small property or practice, though a shared database is the first thing to strain when bookings cluster. |
| VPS Flexible virtual infrastructure with full root access | Recommended | A VPS handles a booking engine and its database comfortably, with predictable performance when enquiries spike. |
| VDS Virtual server with resources pinned to you alone | Recommended | Pinned resources matter here: a reservation that times out at the payment step is a booking you never see. |
| Dedicated Server An entire physical server, configured to your specification | Workable | Right once you are running several properties, or a property management system alongside the public site. |
| Bare Metal Physical compute for sustained, demanding workloads | Not this one | Reservation workloads are database-bound rather than compute-bound, so the extra physical capacity goes unused. |
Travel & Tourism Businesses workloads you can host
- Booking platform
- Itinerary management
- Payment processing
- Supplier integrations
- Customer accounts
Travel & Tourism in Burlington, business by business
These are not the same workload. Sized at the medium band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Travel Agencies | 1 vCPU · 12 GB · 80 GB | VPS | One trip is a dozen bookings with different suppliers that all have to stay in step. |
| Tour Operators | 1 vCPU · 8 GB · 80 GB | VPS | Capacity is per departure rather than per day, and a cancelled guide reshuffles everything downstream. |
| Online Travel Agencies | 4 vCPU · 48 GB · 200 GB | VDS | Every search fans out to many supplier APIs, so caching is the difference between a fast site and an expensive... |
| Ticketing Companies | 4 vCPU · 10 GB · 80 GB | VPS | An on-sale is the most brutal traffic pattern in commerce: months of demand arriving in ninety seconds. |
| Car Rental Companies | 1 vCPU · 16 GB · 100 GB | VPS | Availability depends on where the car will be, not where it is — the calendar has to model vehicles moving bet... |
| Adventure Tourism | 1 vCPU · 8 GB · 80 GB | VPS | Weather rewrites the schedule at short notice, so bulk rebooking is a normal operation rather than an exceptio... |
| Cruise Operators | 2 vCPU · 24 GB · 150 GB | VDS | The manifest is a regulated document with a hard sailing deadline, and excursions sell out like a small ticket... |
| Airport Services | 1 vCPU · 8 GB · 80 GB | VPS | Everything keys off live flight data, so the system is only as current as the feed it is consuming. |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Burlington is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Burlington ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 29 miles | 1–2 ms |
| New York, United States | 351 miles | 8–17 ms |
| Chicago, United States | 409 miles | 10–20 ms |
| Atlanta, United States | 710 miles | 17–34 ms |
| Dallas, United States | 1,174 miles | 28–57 ms |
| Miami, United States | 1,218 miles | 29–59 ms |
| Seattle, United States | 2,052 miles | 50–99 ms |
| Los Angeles, United States | 2,147 miles | 52–104 ms |
| Santa Clara, United States | 2,232 miles | 54–108 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,579 miles | 86–173 ms |
| Amsterdam, The Netherlands | 3,746 miles | 90–181 ms |
| Madrid, Spain | 3,779 miles | 91–182 ms |
| Stockholm, Sweden | 3,961 miles | 96–191 ms |
| Frankfurt, Germany | 3,964 miles | 96–191 ms |
| Milan, Italy | 4,153 miles | 100–201 ms |
| Bucharest, Romania | 4,852 miles | 117–234 ms |
| Tel Aviv, Israel | 5,789 miles | 140–279 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,436 miles | 155–311 ms |
| Delhi NCR, India | 7,262 miles | 175–351 ms |
| Mumbai, India | 7,787 miles | 188–376 ms |
| Hong Kong, China | 7,811 miles | 189–377 ms |
| Kolkata, India | 7,818 miles | 189–377 ms |
| Singapore | 9,337 miles | 225–451 ms |
| Sydney, Australia | 9,649 miles | 233–466 ms |
Distances are from Burlington. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Travel & Tourism Businesses in Burlington
The closest of our 24 data centres to Burlington is Toronto, about 29 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Burlington has a population of about 186,948, which is why the medium build above is the one most likely to fit a Travel & Tourism business here — though the other two are a click away if it does not. Local time is America/Toronto, so routine maintenance and backups are scheduled against your overnight rather than ours.
Data stays in the jurisdiction you choose, which matters if you are working to PIPEDA. Pricing is quoted in CAD, and the figure is the same wherever the machine physically sits.
Network reach from Burlington
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Burlington | Estimated round trip |
|---|---|---|
| Torontoamericas | 29 miles | 1–2 ms |
| New Yorkamericas | 351 miles | 8–17 ms |
| Chicagoamericas | 409 miles | 10–20 ms |
Burlington sits in Ontario, and every one of our 24 locations costs the same — so the only thing worth optimising is which of them your users are closest to. At the medium size assumed above, that is roughly 116,667 requests a day crossing that link.
Travel & Tourism Businesses hosting in Burlington — FAQs
What size server does a Travel & Tourism business in Burlington, ON need?
Where would the server for my Burlington, ON business actually run?
Is a VPS enough for Travel & Tourism Businesses, or do we need a dedicated server?
Can you host booking platform for us?
Can we start smaller and grow?
Other industries in Burlington
Same city, different workload.
Travel & Tourism Businesses hosting nearby
The same workload, in the nearest cities.