Flemingdon Park, Canada
Server infrastructure for GIS & Mapping in Flemingdon Park
What GIS & Mapping actually need from a server is predictable performance under load, and enough headroom to grow into. For a small GIS & Mapping business in Flemingdon Park that is about 2 Cores, 32 GB of memory and 800 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 Flemingdon Park. 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 Most likely here
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
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 5,000 visits a month and roughly 2,667 requests a day, storage grows by roughly 53 GB a month at this size, which usually decides the build before CPU does; about 28 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.
- 0.1 req/sec at peak
- 28 GB working set
- 53 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.
Flemingdon Park has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Flemingdon Park ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | Same city | 1–2 ms |
| New York, United States | 343 miles | 8–17 ms |
| Chicago, United States | 439 miles | 11–21 ms |
| Atlanta, United States | 740 miles | 18–36 ms |
| Dallas, United States | 1,208 miles | 29–58 ms |
| Miami, United States | 1,242 miles | 30–60 ms |
| Seattle, United States | 2,067 miles | 50–100 ms |
| Los Angeles, United States | 2,174 miles | 52–105 ms |
| Santa Clara, United States | 2,255 miles | 54–109 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,545 miles | 86–171 ms |
| Amsterdam, The Netherlands | 3,712 miles | 90–179 ms |
| Madrid, Spain | 3,746 miles | 90–181 ms |
| Stockholm, Sweden | 3,927 miles | 95–190 ms |
| Frankfurt, Germany | 3,930 miles | 95–190 ms |
| Milan, Italy | 4,119 miles | 99–199 ms |
| Bucharest, Romania | 4,818 miles | 116–233 ms |
| Tel Aviv, Israel | 5,754 miles | 139–278 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,430 miles | 155–310 ms |
| Delhi NCR, India | 7,231 miles | 175–349 ms |
| Mumbai, India | 7,755 miles | 187–374 ms |
| Kolkata, India | 7,791 miles | 188–376 ms |
| Hong Kong, China | 7,794 miles | 188–376 ms |
| Singapore | 9,317 miles | 225–450 ms |
| Sydney, Australia | 9,676 miles | 234–467 ms |
Distances are from Flemingdon Park. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
GIS & Mapping in Flemingdon Park
The closest of our 24 data centres to Flemingdon Park is Toronto, about 5 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Flemingdon Park has a population of about 21,933, which is why the small 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 Flemingdon Park
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Flemingdon Park | Estimated round trip |
|---|---|---|
| Torontoamericas | In your metro | 1–2 ms |
| New Yorkamericas | 343 miles | 8–17 ms |
| Chicagoamericas | 439 miles | 11–21 ms |
Flemingdon Park 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 small size assumed above, that is roughly 2,667 requests a day crossing that link.
GIS & Mapping hosting in Flemingdon Park — FAQs
What size server does a GIS & Mapping business in Flemingdon Park, ON need?
Where would the server for my Flemingdon Park, ON 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 Flemingdon Park
Same city, different workload.
GIS & Mapping hosting nearby
The same workload, in the nearest cities.