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https://github.com/ringmast4r/global-data-center-map

ATLAS (All The Locations of All Servers) -- 6,266 data centers across 155 countries and 2,508 operators. Interactive map, API, and downloadable datasets in 7 formats.
https://github.com/ringmast4r/global-data-center-map

cloud-computing colocation critical-infrastructure csv-data cybersecurity data-centers dataset geojson geospatial gis infrastructure interactive-map kml leaflet mapping network-infrastructure open-data osint xlsx xml-data

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ATLAS (All The Locations of All Servers) -- 6,266 data centers across 155 countries and 2,508 operators. Interactive map, API, and downloadable datasets in 7 formats.

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ATLAS



All The Locations of All Servers

Map every data center on Earth.


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At a Glance

```
+------------------+---------+
| Data Centers | 18,110 |
| Countries | 116 |
| Operators | 4,181 |
| With GPS Coords | 6,131 |
| Raw (Pre-Dedup) | 25,757 |
+------------------+---------+
```

Top 15 Countries

```
United States ████████████████████████████████████ 8,818
United Kingdom ███ 747
Germany ██ 584
France ██ 558
China ██ 548
Netherlands ██ 444
Canada █ 415
Australia █ 396
India █ 342
Brazil █ 298
Italy █ 250
Japan █ 236
Spain █ 221
Indonesia 193
Russia 180
```

Top 10 Operators

```
Amazon AWS ████████████████████████████████████ 533
Equinix ████████████████████████████████ 482
Lumen ███████████████████████████ 403
China Telecom █████████████████████ 316
Zenlayer ████████████████████ 309
Digital Realty ████████████████████ 299
DataBank ██████████████ 217
Google █████████████ 205
Microsoft ████████████ 188
Digital Realty Trust ███████████ 164
```

---

Downloads

All 18,110 facilities in every common format:

| File | Format | Size | Records | Notes |
|------|--------|------|---------|-------|
| [`datacenters.csv`](datacenters.csv) | CSV | 1.7 MB | 18,110 | Excel/Google Sheets compatible |
| [`datacenters.xlsx`](datacenters.xlsx) | Excel | 996 KB | 18,110 | Bold headers, auto-width columns |
| [`datacenters.json`](datacenters.json) | JSON | 4.8 MB | 18,110 | Full dataset with coordinates |
| [`datacenters.geojson`](datacenters.geojson) | GeoJSON | 1.6 MB | 6,131 | Import into QGIS, Mapbox, ArcGIS |
| [`datacenters.kml`](datacenters.kml) | KML | 1.1 MB | 6,131 | Google Earth / Google Maps |
| [`datacenters.tsv`](datacenters.tsv) | TSV | 1.7 MB | 18,110 | Tab-separated for scripting |
| [`datacenters.xml`](datacenters.xml) | XML | 4.5 MB | 18,110 | Structured markup |
| [`datacenters.db`](datacenters.db) | SQLite | 2.0 MB | 18,110 | Query with SQL, no server needed |
| [`datacenters.parquet`](datacenters.parquet) | Parquet | 826 KB | 18,110 | Columnar format for analytics |
| [`datacenters.sql`](datacenters.sql) | SQL | 3.8 MB | 18,110 | CREATE TABLE + INSERT statements |
| [`datacenters.yaml`](datacenters.yaml) | YAML | 3.1 MB | 18,110 | Human-readable structured data |
| [`datacenters-table.md`](datacenters-table.md) | Markdown | 1.4 MB | 18,110 | Browse the full list on GitHub |
| [`datacenters_raw.json`](datacenters_raw.json) | JSON (raw) | 5.1 MB | 25,757 | Full raw pre-dedup collection for auditing |

GeoJSON and KML contain the 6,131 facilities (33.9%) that have verified GPS coordinates.


The main datacenters.json is deduplicated. The _raw version is the pre-dedup collection for transparency.

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License


All Rights Reserved. This dataset may not be used, copied, modified, or distributed without explicit written permission from the author.