Network operator
Dataline LLC
2 networks combined into one view.
Operators are grouped by registered network name. Each figure below is the total across every network on this page, which is what a single network page cannot show.
What this tells you
- An estimated 172,234 people use this operator's 2 networks, from 124,122 observations over a 60 day window.
- 172,234 of those are in Ukraine, 0.6% of everyone online there.
- Address space is concentrated in Ukraine (93% of the IPv4 space), across 2 countries in total.
Countries in this space
Space we can place in a country covers 100% of these networks' IPv4 space and 100% of their IPv6 space. The table below divides that space.
| Country | IPv4 share | IPv6 share | |
|---|---|---|---|
| Ukraine | 93% | 100% | |
| Russia | 7% | - |
Organisations holding assignments here
Registered organisations account for 100% of these networks' IPv4 space and 100% of their IPv6 space. The table below divides that space. Registered holders come from the bulk whois that RIPE, APNIC and AFRINIC publish. ARIN and LACNIC do not publish theirs, so space held in North and South America is largely unattributed here.
| Organisation | IPv4 share | IPv6 share | |
|---|---|---|---|
| Dataline LLC | 60% | 100% | |
| ZYN LINE LLC | 15% | - | |
| JSC "Ukrtelecom" | 11% | - | |
| ISP Ultranet Group LLC | 6% | - | |
| PION-CITY | 2% | - | |
| NET-ZAHID LLC | 2% | - | |
| ISP Energy LLC | 2% | - | |
| "OPENWAY" LLC. | 2% | - | |
| Everything else (3 more) | 1% | - |
Anonymizer signals
Flagged space covers 2% of these networks' IPv4 space. The table below divides that space.
| Category | IPv4 share | |
|---|---|---|
| Datacenter | 100% | |
| Open proxy | 100% |
One address can carry more than one of these, so the rows add up to more than the space they cover.
All 2 networks run by this operator
| ASN | Name | Estimated users |
|---|---|---|
| AS35297 | Dataline LLC | 172,234 |
| AS34570 | Dataline LLC | - |
Every figure on this page is also JSON: /api/v2/directory/isp/dataline-llc. Breakdowns paginate from there, so a table showing the largest rows here returns all of them. Read the API.