Dover, United States
Server infrastructure for Real Estate & Property Businesses in Dover
What Real Estate & Property Businesses actually need from a server is predictable performance under load, and enough headroom to grow into. For a medium Real Estate & Property business in Dover that is about Single Core, 8 GB of memory and 80 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Dover. 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 Real Estate & Property
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.5 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Real Estate & Property Most likely here
11–50 people · ~50,000 visits a month
$97.40 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 80 GB storage
- Managed
About 5.4 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Real Estate & Property
51+ people · ~500,000 visits a month
$296.05 USD USD
per month · VDS
- 4 Cores
- 24 GB RAM
- 250 GB storage
- Managed
About 54.0 requests a second at peak, holding roughly 16 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.
Which tiers suit Real Estate & Property Businesses
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 | Workable | Workable for a single small property or practice, though a shared database is the first thing to strain when bookings cluster. |
| VPS Flexible virtual infrastructure with full root access | Recommended | A VPS handles a booking engine and its database comfortably, with predictable performance when enquiries spike. |
| VDS Virtual server with resources pinned to you alone | Recommended | Pinned resources matter here: a reservation that times out at the payment step is a booking you never see. |
| Dedicated Server An entire physical server, configured to your specification | Workable | Right once you are running several properties, or a property management system alongside the public site. |
| Bare Metal Physical compute for sustained, demanding workloads | Not this one | Reservation workloads are database-bound rather than compute-bound, so the extra physical capacity goes unused. |
Real Estate & Property Businesses workloads you can host
- Property listings
- Search & filtering
- Lead capture & CRM
- Document management
- Tenant portal
- Media galleries
Real Estate & Property in Dover, business by business
These are not the same workload. Sized at the medium band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Real Estate Agencies | 1 vCPU · 8 GB · 500 GB | VPS | Listings are mostly photographs, and they are republished to portals every time anything changes. |
| Property Management | 2 vCPU · 24 GB · 150 GB | VDS | Rent day and statement day are the two dates the system exists for; the rest of the month is maintenance ticke... |
| Commercial Property | 2 vCPU · 32 GB · 350 GB | VDS | Leases are long, complex documents and the service-charge calculation is the annual piece of real arithmetic. |
| Property Developers | 1 vCPU · 8 GB · 700 GB | VPS | Marketing runs on large renders long before there is anything to photograph. |
| Rental Management | 1 vCPU · 8 GB · 400 GB | VPS | Condition reports are photographic evidence, kept for the length of the tenancy and the dispute window after i... |
| Real Estate Portals | 4 vCPU · 64 GB · 1500 GB | VDS | Map-bounded search over a live inventory is the expensive query, and everybody runs it on the same evenings. |
| Property Valuation | 4 vCPU · 48 GB · 450 GB | VDS | A valuation is defensible only if the comparable evidence behind it is retrievable years later. |
| Facility Management | 4 vCPU · 48 GB · 700 GB | VDS | Building sensors report continuously, so the system is ingesting long after the maintenance team has gone home... |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Dover is closest to New York. Every marker costs the same per month.
Show all 24 locations and distances from Dover ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| New York, United States | 134 miles | 3–6 ms |
| Toronto, Canada | 369 miles | 9–18 ms |
| Atlanta, United States | 618 miles | 15–30 ms |
| Chicago, United States | 662 miles | 16–32 ms |
| Miami, United States | 964 miles | 23–47 ms |
| Dallas, United States | 1,265 miles | 31–61 ms |
| Los Angeles, United States | 2,374 miles | 57–115 ms |
| Seattle, United States | 2,383 miles | 58–115 ms |
| Santa Clara, United States | 2,495 miles | 60–120 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,592 miles | 87–173 ms |
| Madrid, Spain | 3,703 miles | 89–179 ms |
| Amsterdam, The Netherlands | 3,775 miles | 91–182 ms |
| Frankfurt, Germany | 3,985 miles | 96–192 ms |
| Stockholm, Sweden | 4,061 miles | 98–196 ms |
| Milan, Italy | 4,145 miles | 100–200 ms |
| Bucharest, Romania | 4,885 miles | 118–236 ms |
| Tel Aviv, Israel | 5,792 miles | 140–280 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,801 miles | 164–328 ms |
| Delhi NCR, India | 7,445 miles | 180–359 ms |
| Mumbai, India | 7,925 miles | 191–383 ms |
| Kolkata, India | 8,046 miles | 194–388 ms |
| Hong Kong, China | 8,143 miles | 197–393 ms |
| Singapore | 9,637 miles | 233–465 ms |
| Sydney, Australia | 9,845 miles | 238–475 ms |
Distances are from Dover. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Real Estate & Property Businesses in Dover
The closest of our 24 data centres to Dover is New York, about 134 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Dover has a population of about 39,403, which is why the medium build above is the one most likely to fit a Real Estate & Property business here — though the other two are a click away if it does not. Local time is America/New York, 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 Dover
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Dover | Estimated round trip |
|---|---|---|
| New Yorkamericas | 134 miles | 3–6 ms |
| Torontoamericas | 369 miles | 9–18 ms |
| Atlantaamericas | 618 miles | 15–30 ms |
Dover sits in Delaware, 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 116,667 requests a day crossing that link.
Real Estate & Property Businesses hosting in Dover — FAQs
What size server does a Real Estate & Property business in Dover, DE need?
Where would the server for my Dover, DE business actually run?
Is a VPS enough for Real Estate & Property Businesses, or do we need a dedicated server?
Can you host property listings for us?
Can we start smaller and grow?
Other industries in Dover
Same city, different workload.
Real Estate & Property Businesses hosting nearby
The same workload, in the nearest cities.