Frankston, Australia
Server infrastructure for Data & Analytics in Frankston
Most Data & Analytics outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Data & Analytics business in Frankston that is about 8 Cores, 128 GB of memory and 1500 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 Frankston. 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
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 Most likely here
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 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 70 GB a month at this size, which usually decides the build before CPU does; about 96 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
- 96 GB working set
- 70 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.
Frankston is closest to Sydney. Every marker costs the same per month.
Show all 24 locations and distances from Frankston ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Sydney, Australia | 450 miles | 11–22 ms |
| Singapore | 3,788 miles | 91–183 ms |
| Hong Kong, China | 4,635 miles | 112–224 ms |
| Tokyo, Japan | 5,113 miles | 123–247 ms |
| Kolkata, India | 5,578 miles | 135–269 ms |
| Mumbai, India | 6,120 miles | 148–295 ms |
| Delhi NCR, India | 6,350 miles | 153–307 ms |
| Americas · 9 locations | ||
| Santa Clara, United States | 7,876 miles | 190–380 ms |
| Los Angeles, United States | 7,939 miles | 192–383 ms |
| Seattle, United States | 8,199 miles | 198–396 ms |
| Dallas, United States | 8,997 miles | 217–434 ms |
| Miami, United States | 9,676 miles | 234–467 ms |
| Chicago, United States | 9,677 miles | 234–467 ms |
| Atlanta, United States | 9,683 miles | 234–468 ms |
| Toronto, Canada | 10,110 miles | 244–488 ms |
| New York, United States | 10,358 miles | 250–500 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 8,570 miles | 207–414 ms |
| Bucharest, Romania | 9,315 miles | 225–450 ms |
| Stockholm, Sweden | 9,716 miles | 235–469 ms |
| Milan, Italy | 10,142 miles | 245–490 ms |
| Frankfurt, Germany | 10,162 miles | 245–491 ms |
| Amsterdam, The Netherlands | 10,303 miles | 249–497 ms |
| London, United Kingdom | 10,525 miles | 254–508 ms |
| Madrid, Spain | 10,771 miles | 260–520 ms |
Distances are from Frankston. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Data & Analytics in Frankston
The closest of our 24 data centres to Frankston is Sydney, about 450 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Frankston has a population of about 37,331, which is why the medium 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 Australia/Melbourne, 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 1988. Pricing is quoted in AUD, and the figure is the same wherever the machine physically sits.
Network reach from Frankston
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Frankston | Estimated round trip |
|---|---|---|
| Sydneyapac | 450 miles | 11–22 ms |
| Singaporeapac | 3,788 miles | 91–183 ms |
| Hong Kongapac | 4,635 miles | 112–224 ms |
Frankston sits in Victoria, 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.
Data & Analytics hosting in Frankston — FAQs
What size server does a Data & Analytics business in Frankston, VIC need?
Where would the server for my Frankston, VIC 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 Frankston
Same city, different workload.
Data & Analytics hosting nearby
The same workload, in the nearest cities.