Washington, United States
Server infrastructure for Data & Analytics in Washington
Sizing infrastructure for Data & Analytics starts with the workload, then works back to cores, memory and disk. For a small Data & Analytics business in Washington 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 Washington. 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.
Washington is closest to Los Angeles. Every marker costs the same per month.
Show all 24 locations and distances from Washington ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Los Angeles, United States | 341 miles | 8–16 ms |
| Santa Clara, United States | 465 miles | 11–22 ms |
| Seattle, United States | 851 miles | 21–41 ms |
| Dallas, United States | 991 miles | 24–48 ms |
| Chicago, United States | 1,412 miles | 34–68 ms |
| Atlanta, United States | 1,649 miles | 40–80 ms |
| Toronto, Canada | 1,837 miles | 44–89 ms |
| Miami, United States | 2,102 miles | 51–101 ms |
| New York, United States | 2,120 miles | 51–102 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,113 miles | 123–247 ms |
| Stockholm, Sweden | 5,221 miles | 126–252 ms |
| Amsterdam, The Netherlands | 5,233 miles | 126–253 ms |
| Frankfurt, Germany | 5,458 miles | 132–264 ms |
| Madrid, Spain | 5,479 miles | 132–265 ms |
| Milan, Italy | 5,709 miles | 138–276 ms |
| Bucharest, Romania | 6,262 miles | 151–302 ms |
| Tel Aviv, Israel | 7,235 miles | 175–349 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,565 miles | 134–269 ms |
| Hong Kong, China | 7,290 miles | 176–352 ms |
| Sydney, Australia | 7,836 miles | 189–378 ms |
| Delhi NCR, India | 7,845 miles | 189–379 ms |
| Kolkata, India | 8,073 miles | 195–390 ms |
| Mumbai, India | 8,531 miles | 206–412 ms |
| Singapore | 8,863 miles | 214–428 ms |
Distances are from Washington. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Data & Analytics in Washington
The closest of our 24 data centres to Washington is Los Angeles, about 341 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Washington has a population of about 24,299, 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/Denver, 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 Washington
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Washington | Estimated round trip |
|---|---|---|
| Los Angelesamericas | 341 miles | 8–16 ms |
| Santa Claraamericas | 465 miles | 11–22 ms |
| Seattleamericas | 851 miles | 21–41 ms |
Washington sits in Utah, 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 Washington — FAQs
What size server does a Data & Analytics business in Washington, UT need?
Where would the server for my Washington, UT 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 Washington
Same city, different workload.
Data & Analytics hosting nearby
The same workload, in the nearest cities.