Fenway/Kenmore, United States

Server infrastructure for GIS & Mapping in Fenway/Kenmore

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 Fenway/Kenmore that is about 6 Cores, 96 GB of memory and 3000 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,161.40 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Fenway/Kenmore and its closest data centre Fenway/Kenmore joined by a link to the New York data centre, 188 miles away. Fenway/Kenmore New York New York, United States
188 miles from Fenway/Kenmore
5–9 ms estimated round trip

Estimated from fibre distance, not measured from Fenway/Kenmore. 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 →

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.

Americas coverage 9 live
Americas data centre locations 9 locations across Americas, with New York marked as the closest to Fenway/Kenmore. New York Fenway/Kenmore

Fenway/Kenmore is closest to New York. Every marker costs the same per month.

Show all 24 locations and distances from Fenway/Kenmore ▾
Location Distance Est. round trip
Americas · 9 locations
New York, United States 188 miles 5–9 ms
Toronto, Canada 428 miles 10–21 ms
Chicago, United States 847 miles 20–41 ms
Atlanta, United States 934 miles 23–45 ms
Miami, United States 1,257 miles 30–61 ms
Dallas, United States 1,547 miles 37–75 ms
Seattle, United States 2,484 miles 60–120 ms
Los Angeles, United States 2,589 miles 62–125 ms
Santa Clara, United States 2,679 miles 65–129 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 3,273 miles 79–158 ms
Madrid, Spain 3,402 miles 82–164 ms
Amsterdam, The Netherlands 3,456 miles 83–167 ms
Frankfurt, Germany 3,666 miles 89–177 ms
Stockholm, Sweden 3,745 miles 90–181 ms
Milan, Italy 3,829 miles 92–185 ms
Bucharest, Romania 4,566 miles 110–220 ms
Tel Aviv, Israel 5,476 miles 132–264 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,707 miles 162–324 ms
Delhi NCR, India 7,144 miles 172–345 ms
Mumbai, India 7,612 miles 184–368 ms
Kolkata, India 7,764 miles 187–375 ms
Hong Kong, China 7,956 miles 192–384 ms
Singapore 9,401 miles 227–454 ms
Sydney, Australia 10,089 miles 244–487 ms

Distances are from Fenway/Kenmore. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

GIS & Mapping in Fenway/Kenmore

The closest of our 24 data centres to Fenway/Kenmore is New York, about 188 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Fenway/Kenmore has a population of about 37,733, 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/New York, 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 Fenway/Kenmore

Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.

Data centre Distance from Fenway/Kenmore Estimated round trip
New Yorkamericas 188 miles 5–9 ms
Torontoamericas 428 miles 10–21 ms
Chicagoamericas 847 miles 20–41 ms

Fenway/Kenmore sits in Massachusetts, 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 Fenway/Kenmore — FAQs

What size server does a GIS & Mapping business in Fenway/Kenmore, MA need?
Working from about 50,000 visits a month, we would start at 6 cores, 96 GB of memory and 3000 GB of storage on Dedicated Server. That is an assumption about traffic rather than a measurement of yours — if you know your real figures, the estimate changes with them.
Where would the server for my Fenway/Kenmore, MA business actually run?
The closest of our 24 data centres to Fenway/Kenmore, MA is , about 302 km away. You can choose any of the others at the same price — the server is wherever suits your users, not wherever you happen to be.
Is a VPS enough for GIS & Mapping, or do we need a dedicated server?
Production compute wants the whole machine, with memory bandwidth that is not being shared. You can move up a tier later on the same data and the same IP address.
Can you host spatial database for us?
Yes — spatial database is exactly the kind of workload these builds are sized for, alongside tile rendering & caching and layer management. Spatial queries and tile rendering are both CPU-hungry, and a cached basemap is what makes the map usable.
Can we start smaller and grow?
Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address. Starting one size below your estimate is normally the cheaper mistake.

Other industries in Fenway/Kenmore

Same city, different workload.

GIS & Mapping hosting nearby

The same workload, in the nearest cities.