Minneapolis, United States
Server infrastructure for Data & Analytics in Minneapolis
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 large Data & Analytics business in Minneapolis that is about 28 Cores, 448 GB of memory and 4000 GB of storage on Bare Metal.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Minneapolis. 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
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 Most likely here
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 500,000 visits a month and roughly 266,667 requests a day, storage grows by roughly 280 GB a month at this size, which usually decides the build before CPU does; about 384 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.
- 6.2 req/sec at peak
- 384 GB working set
- 280 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.
Minneapolis is closest to Chicago. Every marker costs the same per month.
Show all 24 locations and distances from Minneapolis ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Chicago, United States | 355 miles | 9–17 ms |
| Toronto, Canada | 691 miles | 17–33 ms |
| Dallas, United States | 864 miles | 21–42 ms |
| Atlanta, United States | 908 miles | 22–44 ms |
| New York, United States | 1,016 miles | 25–49 ms |
| Seattle, United States | 1,391 miles | 34–67 ms |
| Miami, United States | 1,514 miles | 37–73 ms |
| Los Angeles, United States | 1,522 miles | 37–73 ms |
| Santa Clara, United States | 1,573 miles | 38–76 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,011 miles | 97–194 ms |
| Amsterdam, The Netherlands | 4,153 miles | 100–200 ms |
| Stockholm, Sweden | 4,251 miles | 103–205 ms |
| Madrid, Spain | 4,315 miles | 104–208 ms |
| Frankfurt, Germany | 4,377 miles | 106–211 ms |
| Milan, Italy | 4,603 miles | 111–222 ms |
| Bucharest, Romania | 5,230 miles | 126–253 ms |
| Tel Aviv, Israel | 6,194 miles | 150–299 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,958 miles | 144–288 ms |
| Delhi NCR, India | 7,323 miles | 177–354 ms |
| Hong Kong, China | 7,476 miles | 180–361 ms |
| Kolkata, India | 7,768 miles | 188–375 ms |
| Mumbai, India | 7,926 miles | 191–383 ms |
| Sydney, Australia | 9,004 miles | 217–435 ms |
| Singapore | 9,068 miles | 219–438 ms |
Distances are from Minneapolis. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Data & Analytics in Minneapolis
The closest of our 24 data centres to Minneapolis is Chicago, about 355 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
Minneapolis has a population of about 410,939, which is why the large 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/Chicago, 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 Minneapolis
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Minneapolis | Estimated round trip |
|---|---|---|
| Chicagoamericas | 355 miles | 9–17 ms |
| Torontoamericas | 691 miles | 17–33 ms |
| Dallasamericas | 864 miles | 21–42 ms |
Minneapolis sits in Minnesota, 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 large size assumed above, that is roughly 266,667 requests a day crossing that link.
Data & Analytics hosting in Minneapolis — FAQs
What size server does a Data & Analytics business in Minneapolis, MN need?
Where would the server for my Minneapolis, MN 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 Minneapolis
Same city, different workload.
Data & Analytics hosting nearby
The same workload, in the nearest cities.