New Brunswick, Canada

Server infrastructure for Data & Analytics in New Brunswick

Infrastructure for Data & Analytics is a question of matching the machine to the application, then putting it near the people using it. For a small Data & Analytics business in New Brunswick that is about 4 Cores, 48 GB of memory and 450 GB of storage on VDS.

Choose your infrastructure → From $459.40 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
New Brunswick and its closest data centre New Brunswick joined by a link to the New York data centre, 551 miles away. New Brunswick New York New York, United States
551 miles from New Brunswick
13–27 ms estimated round trip

Estimated from fibre distance, not measured from New Brunswick. 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.

Medium Data & Analytics

11–50 people · ~50,000 visits a month


$1,208.65 USD USD

per month · Dedicated Server

  • 8 Cores
  • 128 GB RAM
  • 1500 GB storage
  • Managed
  • GPU on request

About 0.6 requests a second at peak, holding roughly 96 GB of working data.

Configure this build →

Large Data & Analytics

51+ people · ~500,000 visits a month


$4,063.90 USD USD

per month · Bare Metal

  • 28 Cores
  • 448 GB RAM
  • 4000 GB storage
  • Managed
  • GPU on request

About 6.2 requests a second at peak, holding roughly 384 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 Data & Analytics size up this way

Working from about 5,000 visits a month and roughly 2,667 requests a day, storage grows by roughly 25 GB a month at this size, which usually decides the build before CPU does; about 34 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
  • 33.6 GB working set
  • 25 GB/month growth
  • Linux

Which tiers suit Data & Analytics

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.

Data & Analytics workloads you can host

Warehouse queries scan far more data than they return, so memory bandwidth decides whether a dashboard loads in two seconds or twenty.

  • Data warehouse
  • ETL pipelines
  • BI dashboards
  • Columnar storage
  • Scheduled reporting

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 New Brunswick. New York New Brunswick

New Brunswick is closest to New York. Every marker costs the same per month.

Show all 24 locations and distances from New Brunswick ▾
Location Distance Est. round trip
Americas · 9 locations
New York, United States 551 miles 13–27 ms
Toronto, Canada 682 miles 16–33 ms
Chicago, United States 1,117 miles 27–54 ms
Atlanta, United States 1,293 miles 31–62 ms
Miami, United States 1,610 miles 39–78 ms
Dallas, United States 1,872 miles 45–90 ms
Seattle, United States 2,612 miles 63–126 ms
Los Angeles, United States 2,837 miles 68–137 ms
Santa Clara, United States 2,894 miles 70–140 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 2,914 miles 70–141 ms
Madrid, Spain 3,073 miles 74–148 ms
Amsterdam, The Netherlands 3,094 miles 75–149 ms
Frankfurt, Germany 3,306 miles 80–160 ms
Stockholm, Sweden 3,382 miles 82–163 ms
Milan, Italy 3,475 miles 84–168 ms
Bucharest, Romania 4,204 miles 101–203 ms
Tel Aviv, Israel 5,120 miles 124–247 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,570 miles 159–317 ms
Delhi NCR, India 6,792 miles 164–328 ms
Mumbai, India 7,250 miles 175–350 ms
Kolkata, India 7,427 miles 179–359 ms
Hong Kong, China 7,712 miles 186–372 ms
Singapore 9,101 miles 220–439 ms
Sydney, Australia 10,325 miles 249–498 ms

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

Data & Analytics in New Brunswick

The closest of our 24 data centres to New Brunswick is New York, about 551 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

New Brunswick has a population of about 5,725, which is why the small build above is the one most likely to fit a Data & Analytics business here — though the other two are a click away if it does not. Local time is America/Moncton, 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 New Brunswick

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

Data centre Distance from New Brunswick Estimated round trip
New Yorkamericas 551 miles 13–27 ms
Torontoamericas 682 miles 16–33 ms
Chicagoamericas 1,117 miles 27–54 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 small size assumed above, that is roughly 2,667 requests a day crossing that link.

Data & Analytics hosting in New Brunswick — FAQs

What size server does a Data & Analytics business in New Brunswick need?
Working from about 5,000 visits a month, we would start at 4 cores, 48 GB of memory and 450 GB of storage on VDS. 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 New Brunswick business actually run?
The closest of our 24 data centres to New Brunswick is , about 886 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 Data & Analytics, 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 data warehouse for us?
Yes — data warehouse is exactly the kind of workload these builds are sized for, alongside etl pipelines and bi dashboards. Warehouse queries scan far more data than they return, so memory bandwidth decides whether a dashboard loads in two seconds or twenty.
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 New Brunswick

Same city, different workload.

Data & Analytics hosting nearby

The same workload, in the nearest cities.