Jefferson City, United States
Server infrastructure for GIS & Mapping in Jefferson City
The right server for GIS & Mapping is decided by the work it has to do, not by the size of the plan you happen to land on. For a medium GIS & Mapping business in Jefferson City 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 Jefferson City. 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.
Jefferson City is closest to Chicago. Every marker costs the same per month.
Show all 24 locations and distances from Jefferson City ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Chicago, United States | 331 miles | 8–16 ms |
| Dallas, United States | 477 miles | 12–23 ms |
| Atlanta, United States | 547 miles | 13–26 ms |
| Toronto, Canada | 751 miles | 18–36 ms |
| New York, United States | 976 miles | 24–47 ms |
| Miami, United States | 1,127 miles | 27–54 ms |
| Los Angeles, United States | 1,479 miles | 36–71 ms |
| Santa Clara, United States | 1,617 miles | 39–78 ms |
| Seattle, United States | 1,632 miles | 39–79 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,278 miles | 103–207 ms |
| Amsterdam, The Netherlands | 4,437 miles | 107–214 ms |
| Madrid, Spain | 4,502 miles | 109–217 ms |
| Stockholm, Sweden | 4,596 miles | 111–222 ms |
| Frankfurt, Germany | 4,658 miles | 112–225 ms |
| Milan, Italy | 4,860 miles | 117–235 ms |
| Bucharest, Romania | 5,534 miles | 134–267 ms |
| Tel Aviv, Israel | 6,484 miles | 157–313 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,333 miles | 153–306 ms |
| Delhi NCR, India | 7,751 miles | 187–374 ms |
| Hong Kong, China | 7,896 miles | 191–381 ms |
| Kolkata, India | 8,212 miles | 198–396 ms |
| Mumbai, India | 8,337 miles | 201–403 ms |
| Sydney, Australia | 8,959 miles | 216–433 ms |
| Singapore | 9,496 miles | 229–458 ms |
Distances are from Jefferson City. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
GIS & Mapping in Jefferson City
The closest of our 24 data centres to Jefferson City is Chicago, about 331 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Jefferson City has a population of about 42,595, 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/Chicago, 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 state privacy laws such as the CCPA. Pricing is quoted in USD, and the figure is the same wherever the machine physically sits.
Network reach from Jefferson City
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Jefferson City | Estimated round trip |
|---|---|---|
| Chicagoamericas | 331 miles | 8–16 ms |
| Dallasamericas | 477 miles | 12–23 ms |
| Atlantaamericas | 547 miles | 13–26 ms |
Jefferson City sits in Missouri, 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 Jefferson City — FAQs
What size server does a GIS & Mapping business in Jefferson City, MO need?
Where would the server for my Jefferson City, MO 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 Jefferson City
Same city, different workload.
GIS & Mapping hosting nearby
The same workload, in the nearest cities.