Laval, Canada
Server infrastructure for Real Estate & Property Businesses in Laval
There is no single correct server for Real Estate & Property Businesses; there is a correct one for the workload, the volume and the budget. For a large Real Estate & Property business in Laval that is about 4 Cores, 24 GB of memory and 250 GB of storage on VDS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Laval. 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 Real Estate & Property
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 Real Estate & Property
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 Real Estate & Property Most likely here
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 Real Estate & Property 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. |
Real Estate & Property Businesses workloads you can host
- Property listings
- Search & filtering
- Lead capture & CRM
- Document management
- Tenant portal
- Media galleries
Real Estate & Property in Laval, business by business
These are not the same workload. Sized at the large band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Real Estate Agencies | 6 vCPU · 24 GB · 2000 GB | VDS | Listings are mostly photographs, and they are republished to portals every time anything changes. |
| Property Management | 6 vCPU · 96 GB · 450 GB | Dedicated Server | Rent day and statement day are the two dates the system exists for; the rest of the month is maintenance ticke... |
| Commercial Property | 8 vCPU · 128 GB · 1500 GB | Dedicated Server | Leases are long, complex documents and the service-charge calculation is the annual piece of real arithmetic. |
| Property Developers | 4 vCPU · 24 GB · 3000 GB | VDS | Marketing runs on large renders long before there is anything to photograph. |
| Rental Management | 4 vCPU · 24 GB · 2000 GB | VDS | Condition reports are photographic evidence, kept for the length of the tenancy and the dispute window after i... |
| Real Estate Portals | 24 vCPU · 256 GB · 4000 GB | Dedicated Server | Map-bounded search over a live inventory is the expensive query, and everybody runs it on the same evenings. |
| Property Valuation | 16 vCPU · 196 GB · 2000 GB | Dedicated Server | A valuation is defensible only if the comparable evidence behind it is retrievable years later. |
| Facility Management | 16 vCPU · 196 GB · 3000 GB | Dedicated Server | Building sensors report continuously, so the system is ingesting long after the maintenance team has gone home... |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Laval is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Laval ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 310 miles | 7–15 ms |
| New York, United States | 336 miles | 8–16 ms |
| Chicago, United States | 740 miles | 18–36 ms |
| Atlanta, United States | 993 miles | 24–48 ms |
| Miami, United States | 1,415 miles | 34–68 ms |
| Dallas, United States | 1,512 miles | 36–73 ms |
| Seattle, United States | 2,276 miles | 55–110 ms |
| Los Angeles, United States | 2,459 miles | 59–119 ms |
| Santa Clara, United States | 2,523 miles | 61–122 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,246 miles | 78–157 ms |
| Amsterdam, The Netherlands | 3,417 miles | 82–165 ms |
| Madrid, Spain | 3,441 miles | 83–166 ms |
| Frankfurt, Germany | 3,634 miles | 88–175 ms |
| Stockholm, Sweden | 3,655 miles | 88–176 ms |
| Milan, Italy | 3,818 miles | 92–184 ms |
| Bucharest, Romania | 4,525 miles | 109–218 ms |
| Tel Aviv, Israel | 5,456 miles | 132–263 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,450 miles | 156–311 ms |
| Delhi NCR, India | 7,004 miles | 169–338 ms |
| Mumbai, India | 7,503 miles | 181–362 ms |
| Kolkata, India | 7,595 miles | 183–367 ms |
| Hong Kong, China | 7,720 miles | 186–373 ms |
| Singapore | 9,191 miles | 222–444 ms |
| Sydney, Australia | 9,954 miles | 240–481 ms |
Distances are from Laval. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Real Estate & Property Businesses in Laval
The closest of our 24 data centres to Laval is Toronto, about 310 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Laval has a population of about 438,366, which is why the large build above is the one most likely to fit a Real Estate & Property 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 Laval
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Laval | Estimated round trip |
|---|---|---|
| Torontoamericas | 310 miles | 7–15 ms |
| New Yorkamericas | 336 miles | 8–16 ms |
| Chicagoamericas | 740 miles | 18–36 ms |
Laval sits in Quebec, 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 large size assumed above, that is roughly 1,166,667 requests a day crossing that link.
Real Estate & Property Businesses hosting in Laval — FAQs
What size server does a Real Estate & Property business in Laval, QC need?
Where would the server for my Laval, QC business actually run?
Is a VPS enough for Real Estate & Property Businesses, or do we need a dedicated server?
Can you host property listings for us?
Can we start smaller and grow?
Other industries in Laval
Same city, different workload.
Real Estate & Property Businesses hosting nearby
The same workload, in the nearest cities.