Long Beach, United States

Server infrastructure for Data & Analytics in Long Beach

Infrastructure for Data & Analytics is a question of matching the machine to the application, then putting it near the people using it. For a small Data & Analytics business in Long Beach 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
Long Beach and its closest data centre Long Beach joined by a link to the Atlanta data centre, 365 miles away. Long Beach Atlanta Georgia, United States
365 miles from Long Beach
9–18 ms estimated round trip

Estimated from fibre distance, not measured from Long Beach. 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.

Americas coverage 9 live
Americas data centre locations 9 locations across Americas, with Atlanta marked as the closest to Long Beach. Atlanta Long Beach

Long Beach is closest to Atlanta. Every marker costs the same per month.

Show all 24 locations and distances from Long Beach ▾
Location Distance Est. round trip
Americas · 9 locations
Atlanta, United States 365 miles 9–18 ms
Dallas, United States 480 miles 12–23 ms
Miami, United States 631 miles 15–30 ms
Chicago, United States 801 miles 19–39 ms
Toronto, Canada 1,064 miles 26–51 ms
New York, United States 1,110 miles 27–54 ms
Los Angeles, United States 1,714 miles 41–83 ms
Santa Clara, United States 1,933 miles 47–93 ms
Seattle, United States 2,119 miles 51–102 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 4,569 miles 110–221 ms
Madrid, Spain 4,676 miles 113–226 ms
Amsterdam, The Netherlands 4,748 miles 115–229 ms
Frankfurt, Germany 4,961 miles 120–240 ms
Stockholm, Sweden 4,994 miles 121–241 ms
Milan, Italy 5,126 miles 124–248 ms
Bucharest, Romania 5,859 miles 141–283 ms
Tel Aviv, Israel 6,773 miles 164–327 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,883 miles 166–332 ms
Delhi NCR, India 8,273 miles 200–399 ms
Hong Kong, China 8,482 miles 205–410 ms
Kolkata, India 8,776 miles 212–424 ms
Mumbai, India 8,819 miles 213–426 ms
Sydney, Australia 8,947 miles 216–432 ms
Singapore 10,086 miles 243–487 ms

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

Data & Analytics in Long Beach

The closest of our 24 data centres to Long Beach is Atlanta, about 365 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Long Beach has a population of about 15,555, 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/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 Long Beach

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

Data centre Distance from Long Beach Estimated round trip
Atlantaamericas 365 miles 9–18 ms
Dallasamericas 480 miles 12–23 ms
Miamiamericas 631 miles 15–30 ms

Long Beach sits in Mississippi, 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 Long Beach — FAQs

What size server does a Data & Analytics business in Long Beach, MS 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 Long Beach, MS business actually run?
The closest of our 24 data centres to Long Beach, MS is , about 587 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 Long Beach

Same city, different workload.

Data & Analytics hosting nearby

The same workload, in the nearest cities.