Thomson, Singapore
Server infrastructure for GIS & Mapping in Thomson
Infrastructure for GIS & Mapping is a question of matching the machine to the application, then putting it near the people using it. For a medium GIS & Mapping business in Thomson 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 Thomson. 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.
Thomson has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Thomson ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Singapore | Same city | 1–2 ms |
| Hong Kong, China | 1,606 miles | 39–78 ms |
| Kolkata, India | 1,797 miles | 43–87 ms |
| Mumbai, India | 2,427 miles | 59–117 ms |
| Delhi NCR, India | 2,563 miles | 62–124 ms |
| Tokyo, Japan | 3,299 miles | 80–159 ms |
| Sydney, Australia | 3,917 miles | 95–189 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 4,949 miles | 119–239 ms |
| Bucharest, Romania | 5,550 miles | 134–268 ms |
| Stockholm, Sweden | 5,989 miles | 145–289 ms |
| Frankfurt, Germany | 6,375 miles | 154–308 ms |
| Milan, Italy | 6,377 miles | 154–308 ms |
| Amsterdam, The Netherlands | 6,520 miles | 157–315 ms |
| London, United Kingdom | 6,742 miles | 163–325 ms |
| Madrid, Spain | 7,073 miles | 171–341 ms |
| Americas · 9 locations | ||
| Seattle, United States | 8,063 miles | 195–389 ms |
| Santa Clara, United States | 8,475 miles | 205–409 ms |
| Los Angeles, United States | 8,773 miles | 212–424 ms |
| Toronto, Canada | 9,321 miles | 225–450 ms |
| Chicago, United States | 9,365 miles | 226–452 ms |
| New York, United States | 9,527 miles | 230–460 ms |
| Dallas, United States | 9,722 miles | 235–469 ms |
| Atlanta, United States | 9,953 miles | 240–481 ms |
| Miami, United States | 10,544 miles | 255–509 ms |
Distances are from Thomson. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
GIS & Mapping in Thomson
The closest of our 24 data centres to Thomson is Singapore, about 2 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Thomson has a population of about 29,390, 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 Asia/Singapore, 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 the PDPA. Pricing is quoted in SGD, and the figure is the same wherever the machine physically sits.
Network reach from Thomson
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Thomson | Estimated round trip |
|---|---|---|
| Singaporeapac | In your metro | 1–2 ms |
| Hong Kongapac | 1,606 miles | 39–78 ms |
| Kolkataapac | 1,797 miles | 43–87 ms |
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 Thomson — FAQs
What size server does a GIS & Mapping business in Thomson, Singapore need?
Where would the server for my Thomson, Singapore 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 Thomson
Same city, different workload.
GIS & Mapping hosting nearby
The same workload, in the nearest cities.