Epsom, New Zealand
Server infrastructure for Data & Analytics in Epsom
Most Data & Analytics outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a small Data & Analytics business in Epsom that is about 4 Cores, 48 GB of memory and 450 GB of storage on VDS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Epsom. 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 Data & Analytics Most likely here
1–10 people · ~5,000 visits a month
$459.40 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 450 GB storage
- GPU on request
About 0.1 requests a second at peak, holding roughly 33.6 GB of working data.
Configure this build →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.
Epsom is closest to Sydney. Every marker costs the same per month.
Show all 24 locations and distances from Epsom ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Sydney, Australia | 1,340 miles | 32–65 ms |
| Singapore | 5,231 miles | 126–253 ms |
| Tokyo, Japan | 5,496 miles | 133–265 ms |
| Hong Kong, China | 5,681 miles | 137–274 ms |
| Kolkata, India | 6,951 miles | 168–336 ms |
| Mumbai, India | 7,642 miles | 184–369 ms |
| Delhi NCR, India | 7,749 miles | 187–374 ms |
| Americas · 9 locations | ||
| Los Angeles, United States | 6,524 miles | 157–315 ms |
| Santa Clara, United States | 6,529 miles | 158–315 ms |
| Seattle, United States | 7,006 miles | 169–338 ms |
| Dallas, United States | 7,452 miles | 180–360 ms |
| Miami, United States | 8,056 miles | 194–389 ms |
| Atlanta, United States | 8,104 miles | 196–391 ms |
| Chicago, United States | 8,198 miles | 198–396 ms |
| Toronto, Canada | 8,631 miles | 208–417 ms |
| New York, United States | 8,821 miles | 213–426 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 10,151 miles | 245–490 ms |
| Stockholm, Sweden | 10,571 miles | 255–510 ms |
| Bucharest, Romania | 10,726 miles | 259–518 ms |
| Amsterdam, The Netherlands | 11,260 miles | 272–544 ms |
| Frankfurt, Germany | 11,291 miles | 273–545 ms |
| London, United Kingdom | 11,396 miles | 275–550 ms |
| Milan, Italy | 11,484 miles | 277–554 ms |
| Madrid, Spain | 12,179 miles | 294–588 ms |
Distances are from Epsom. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Data & Analytics in Epsom
The closest of our 24 data centres to Epsom is Sydney, about 1,340 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Epsom has a population of about 20,200, 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 Pacific/Auckland, 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 Privacy Act 2020. Pricing is quoted in NZD, and the figure is the same wherever the machine physically sits.
Network reach from Epsom
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Epsom | Estimated round trip |
|---|---|---|
| Sydneyapac | 1,340 miles | 32–65 ms |
| Singaporeapac | 5,231 miles | 126–253 ms |
| Tokyoapac | 5,496 miles | 133–265 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 Epsom — FAQs
What size server does a Data & Analytics business in Epsom, Auckland need?
Where would the server for my Epsom, Auckland business actually run?
Is a VPS enough for Data & Analytics, or do we need a dedicated server?
Can you host data warehouse for us?
Can we start smaller and grow?
Other industries in Epsom
Same city, different workload.
Data & Analytics hosting nearby
The same workload, in the nearest cities.