Côte-Saint-Luc, Canada
Server infrastructure for GIS & Mapping in Côte-Saint-Luc
Sizing infrastructure for GIS & Mapping starts with the workload, then works back to cores, memory and disk. For a medium GIS & Mapping business in Côte-Saint-Luc that is about 6 Cores, 96 GB of memory and 3000 GB of storage on Dedicated Server.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Côte-Saint-Luc. 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 GIS & Mapping
1–10 people · ~5,000 visits a month
$408.10 USD USD
per month · VDS
- 2 Cores
- 32 GB RAM
- 800 GB storage
- GPU on request
About 0.1 requests a second at peak, holding roughly 28 GB of working data.
Configure this build →Medium GIS & Mapping Most likely here
11–50 people · ~50,000 visits a month
$1,161.40 USD USD
per month · Dedicated Server
- 6 Cores
- 96 GB RAM
- 3000 GB storage
- Managed
- GPU on request
About 0.6 requests a second at peak, holding roughly 80 GB of working data.
Configure this build →Large GIS & Mapping
51+ people · ~500,000 visits a month
$3,567.10 USD USD
per month · Bare Metal
- 24 Cores
- 384 GB RAM
- 4000 GB storage
- Managed
- GPU on request
About 6.2 requests a second at peak, holding roughly 320 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.
Why GIS & Mapping size up this way
Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 150 GB a month at this size, which usually decides the build before CPU does; about 80 GB of data needs to stay in memory to keep queries fast; and each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site.
- 0.6 req/sec at peak
- 80 GB working set
- 150 GB/month growth
- Linux
Which tiers suit GIS & Mapping
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 | Not this one | There is no version of this workload that fits on shared hosting. |
| VPS Flexible virtual infrastructure with full root access | Workable | Useful for development, notebooks and light inference, but not for training or sustained compute. |
| VDS Virtual server with resources pinned to you alone | Workable | Suits CPU-bound preprocessing and data preparation with a guaranteed share of the machine. |
| Dedicated Server An entire physical server, configured to your specification | Recommended | Production compute wants the whole machine, with memory bandwidth that is not being shared. |
| Bare Metal Physical compute for sustained, demanding workloads | Recommended | Training, inference and simulation belong on physical hardware, with GPUs available on request. |
GIS & Mapping workloads you can host
Spatial queries and tile rendering are both CPU-hungry, and a cached basemap is what makes the map usable.
- Spatial database
- Tile rendering & caching
- Layer management
- Geoprocessing jobs
- Web map services
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Côte-Saint-Luc is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Côte-Saint-Luc ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 308 miles | 7–15 ms |
| New York, United States | 329 miles | 8–16 ms |
| Chicago, United States | 739 miles | 18–36 ms |
| Atlanta, United States | 989 miles | 24–48 ms |
| Miami, United States | 1,409 miles | 34–68 ms |
| Dallas, United States | 1,510 miles | 36–73 ms |
| Seattle, United States | 2,280 miles | 55–110 ms |
| Los Angeles, United States | 2,460 miles | 59–119 ms |
| Santa Clara, United States | 2,525 miles | 61–122 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,249 miles | 78–157 ms |
| Amsterdam, The Netherlands | 3,420 miles | 83–165 ms |
| Madrid, Spain | 3,443 miles | 83–166 ms |
| Frankfurt, Germany | 3,637 miles | 88–176 ms |
| Stockholm, Sweden | 3,660 miles | 88–177 ms |
| Milan, Italy | 3,821 miles | 92–184 ms |
| Bucharest, Romania | 4,529 miles | 109–219 ms |
| Tel Aviv, Israel | 5,459 miles | 132–264 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,458 miles | 156–312 ms |
| Delhi NCR, India | 7,010 miles | 169–338 ms |
| Mumbai, India | 7,508 miles | 181–362 ms |
| Kolkata, India | 7,602 miles | 184–367 ms |
| Hong Kong, China | 7,727 miles | 187–373 ms |
| Singapore | 9,198 miles | 222–444 ms |
| Sydney, Australia | 9,956 miles | 240–481 ms |
Distances are from Côte-Saint-Luc. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
GIS & Mapping in Côte-Saint-Luc
The closest of our 24 data centres to Côte-Saint-Luc is Toronto, about 308 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
Côte-Saint-Luc has a population of about 31,395, which is why the medium build above is the one most likely to fit a GIS & Mapping 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 Côte-Saint-Luc
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Côte-Saint-Luc | Estimated round trip |
|---|---|---|
| Torontoamericas | 308 miles | 7–15 ms |
| New Yorkamericas | 329 miles | 8–16 ms |
| Chicagoamericas | 739 miles | 18–36 ms |
Côte-Saint-Luc 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 medium size assumed above, that is roughly 26,667 requests a day crossing that link.
GIS & Mapping hosting in Côte-Saint-Luc — FAQs
What size server does a GIS & Mapping business in Côte-Saint-Luc, QC need?
Where would the server for my Côte-Saint-Luc, QC business actually run?
Is a VPS enough for GIS & Mapping, or do we need a dedicated server?
Can you host spatial database for us?
Can we start smaller and grow?
Other industries in Côte-Saint-Luc
Same city, different workload.
GIS & Mapping hosting nearby
The same workload, in the nearest cities.