Heavitree, United Kingdom

Server infrastructure for Data & Analytics in Heavitree

The right server for Data & Analytics is decided by the work it has to do, not by the size of the plan you happen to land on. For a small Data & Analytics business in Heavitree 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
Heavitree and its closest data centre Heavitree joined by a link to the London data centre, 156 miles away. Heavitree London United Kingdom
156 miles from Heavitree
4–8 ms estimated round trip

Estimated from fibre distance, not measured from Heavitree. 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.

Europe, Middle East & Africa coverage 8 live
Europe, Middle East & Africa data centre locations 8 locations across Europe, Middle East & Africa, with London marked as the closest to Heavitree. London Heavitree

Heavitree is closest to London. Every marker costs the same per month.

Show all 24 locations and distances from Heavitree ▾
Location Distance Est. round trip
Europe, Middle East & Africa · 8 locations
London, United Kingdom 156 miles 4–8 ms
Amsterdam, The Netherlands 378 miles 9–18 ms
Frankfurt, Germany 537 miles 13–26 ms
Milan, Italy 688 miles 17–33 ms
Madrid, Spain 712 miles 17–34 ms
Stockholm, Sweden 1,033 miles 25–50 ms
Bucharest, Romania 1,436 miles 35–69 ms
Tel Aviv, Israel 2,326 miles 56–112 ms
Americas · 9 locations
New York, United States 3,338 miles 81–161 ms
Toronto, Canada 3,438 miles 83–166 ms
Chicago, United States 3,842 miles 93–185 ms
Atlanta, United States 4,084 miles 99–197 ms
Miami, United States 4,292 miles 104–207 ms
Dallas, United States 4,639 miles 112–224 ms
Seattle, United States 4,736 miles 114–229 ms
Santa Clara, United States 5,300 miles 128–256 ms
Los Angeles, United States 5,365 miles 130–259 ms
Asia-Pacific · 7 locations
Delhi NCR, India 4,336 miles 105–209 ms
Mumbai, India 4,615 miles 111–223 ms
Kolkata, India 5,103 miles 123–246 ms
Tokyo, Japan 6,060 miles 146–293 ms
Hong Kong, China 6,131 miles 148–296 ms
Singapore 6,895 miles 166–333 ms
Sydney, Australia 10,713 miles 259–517 ms

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

Data & Analytics in Heavitree

The closest of our 24 data centres to Heavitree is London, about 156 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.

Heavitree has a population of about 22,000, 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 Europe/London, 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 UK GDPR and the Data Protection Act 2018. Pricing is quoted in GBP, and the figure is the same wherever the machine physically sits.

Network reach from Heavitree

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

Data centre Distance from Heavitree Estimated round trip
Londonemea 156 miles 4–8 ms
Amsterdamemea 378 miles 9–18 ms
Frankfurtemea 537 miles 13–26 ms

Heavitree sits in England, 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.

Data & Analytics hosting in Heavitree — FAQs

What size server does a Data & Analytics business in Heavitree, England 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 Heavitree, England business actually run?
The closest of our 24 data centres to Heavitree, England is , about 251 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 Heavitree

Same city, different workload.

Data & Analytics hosting nearby

The same workload, in the nearest cities.