Overview
1 Overview
2 Top US Targets
3 Financial Services
4 Cybersecurity
5 Semiconductors & Hardware
6 Aerospace & Defense
7 Healthcare & Pharma
8 Energy & Industrial
9 Fleet, Auto & Logistics
10 Research & Education
11 Global Tech Giants
12 Consumer & Retail
13 Geography
14 Russia Compliance
15 Sales Playbook

Overview

78,246 public IPs reverse-looked up to identify companies, verticals, and geographic hotspots across Timescale's self-serve infrastructure.

This report analyzes IP addresses observed connecting to Timescale infrastructure from a Grafana panel export dated February 13, 2026. Each IP was enriched via reverse lookup with organization name, ISP, city, country, and AS number. The goal: identify high-value companies already using TimescaleDB that TigerData sales should target.

Key Metrics

78,246
Public IPs Analyzed
After filtering private ranges
8,400+
Unique Organizations
Across 156 countries
79.9M
Total DUM
Distinct usage metric
10.5M
Total Hypertables
Indicates real TSDB deployment depth
350+
Brand-Name Companies Found
Fortune 500, unicorns, and known tech cos

Geographic Reach

Top US Targets

The 20 highest-value US companies already running TimescaleDB at scale, sorted by usage intensity.

These are real companies with active TSDB deployments on Timescale infrastructure. DUM measures usage volume; hypertable count indicates how deeply TimescaleDB is embedded in their stack.

Tier 1: Enterprise Whales

CompanyDUMHypertablesVerticalSignal
Cisco Systems726,6925,622Tech / HardwareMassive deployment across IoT + Webex divisions
Tesla Motors136,030374Fleet / ManufacturingVehicle telemetry, factory sensor monitoring
Cato Networks134,1855,205CybersecurityNetwork security metrics, deeply embedded
Zscaler185,87410,000+Cybersecurity20+ global PoPs, largest TSDB footprint by node count
Travelex131,30730Financial ServicesCurrency exchange rate monitoring
MIT121,10721,108ResearchDeepest hypertable user in the entire dataset
CoreWeave49,168816AI / GPU CloudFast-growing AI infra, GPU cluster monitoring
NASA47,4391,803GovernmentJPL + Goddard, mission telemetry

Tier 2: High-Potential Targets

CompanyDUMHypertablesVerticalSignal
Tower Research Capital44,4051,433HFT / FintechTrading signals, low-latency time-series
KLA Corporation33,38675SemiconductorFab metrology data, $60B+ market cap
FlightAware32,69594LogisticsPure time-series: flight tracking data
W.H. Trading25,6572,706HFT / FintechDeep TSDB, Chicago trading cluster
Peak 6 Investments24,1574,413HFT / FintechDeepest fintech user by hypertable count
Broadcom / Avago23,153536SemiconductorChip design and test telemetry
Commonwealth Fusion22,614137Energy / FusionMIT spinoff, fusion reactor sensor data
Marathon Digital22,5004Crypto MiningBitcoin mining infrastructure monitoring
VIAVI Solutions18,225351Test & MeasurementNetwork test instruments
Dell15,878287Tech / HardwareServer infrastructure metrics
ShipTracks15,86321Maritime / LogisticsVessel tracking, pure time-series
Relativity Space13,32013Aerospace3D-printed rocket manufacturing telemetry

More Brand Names in the Data

CompanyDUMHypertablesNotes
Boeing3,720369Aerospace telemetry
Nvidia4,00044GPU infrastructure monitoring
UnitedHealth Group5,83764Largest US health insurer
Disney696998Streaming + parks infrastructure
Pfizer98650Pharma research data
Qualcomm2,6721,320Deep TSDB across 3 countries
Apple74125Small footprint, high logo value
FedEx1,67746Package tracking telemetry
Honda7,46033Manufacturing + precision parts
Salesforce112120Small but strategic
Schlumberger11,47597Oil/gas sensor data
KPMG542121Big 4 consulting
Marriott87180Hotel operations
Netflix831468Streaming infrastructure (AU)
Lam Research10,522196Semiconductor fab equipment

Financial Services

107 financial services companies detected globally. HFT firms show the deepest TSDB integration of any vertical.

Top Financial Services Companies

CompanyDUMHypertablesCountry
Travelex Currency Services131,30730United States
Commercial Bank KYRGYZSTAN48,00615Kyrgyzstan
Tower Research Capital44,4051,433United States
Polaris 7 Investments37,1603United States
Options35,62719United States
IMC Marketmakers (NL)26,029321Netherlands
W.H. Trading25,6572,706United States
Peak 6 Investments24,1574,413United States
Millennium Advisors15,55130United States
IMC-Chicago14,314811United States
Santander Bank Polska12,292198Poland
SoftBank Corp11,26261Japan
Spark NZ Trading9,080114New Zealand
Jump Trading7,9280United States
Hudson River Trading7,26666United States

Hypertable Depth: Financial Services

Cybersecurity

Zscaler alone has 20+ global nodes running TimescaleDB. Network security telemetry is a natural fit for time-series.

Top Cybersecurity Companies

CompanyDUMHypertablesCountry
Zscaler (US)186,9698,145Global
Cato Networks134,1855,205United States
Zscaler (intl variants)125,6162,065Global
Zscaler India32,3382,425India
Zscaler France32,0001,752France
Zscaler Germany (Muc1)18,8481,007Germany
Palo Alto Networks11,3832,144Global
Zscaler Sweden8,518233Sweden
Zscaler Frankfurt7,839265Germany
Zscaler Marseille7,366288France
Fortinet1,24125US, Canada

Zscaler Global Footprint by DUM

Semiconductors & Hardware

Cisco dominates at 733K DUM. The semiconductor equipment trio (KLA, Broadcom, Lam Research) represents $850B+ in combined market cap.

Top Semiconductor & Hardware Companies

CompanyDUMHypertablesCountry
Cisco Systems732,7496,840US, India
iDirect (ST Engineering)36,539245United States
KLA Corporation33,38675United States
Avago / Broadcom28,990831US, India, Japan
Dell26,4755,144US, Canada
PanAmSat (SES)25,828895United States
VIAVI Solutions18,225351United States
LG Uplus16,988172South Korea
Intelsat16,522631United States
Nokia10,8722,099Finland
Lam Research10,522196United States
Cisco Webex5,060404United States
Nvidia4,00044United States
Qualcomm2,6721,320US, India, NL

Hypertable Depth: Hardware

Aerospace & Defense

SpaceX is the single largest entity in the entire dataset at 1M+ DUM. Boeing and Relativity Space round out the vertical.

Aerospace Companies

CompanyDUMHypertablesIPsNotes
SpaceX (all variants)1,090,0491,368,6872,505Satellite + ground station telemetry
Relativity Space13,3201313D-printed rockets, Long Beach CA
Boeing3,72036913Commercial + defense aerospace

SpaceX Breakdown

DivisionDUMHypertables
SpaceX Services (US)548,155747,944
SpaceX Starlink433,731404,941
SpaceX Services (intl)86,927195,040
SpaceX Starlink (AU)21,23620,762

Healthcare & Pharma

70 healthcare organizations detected. Hospital systems show surprisingly deep TSDB usage for patient monitoring and clinical data.

Top Healthcare & Pharma Companies

CompanyDUMHypertablesType
National Institutes of Health8,324389Government Research
UnitedHealth Group5,83764Insurance
Spectrum Health4,800120Hospital System
Scripps Health2,805551Hospital System
Massachusetts General Hospital2,633363Hospital
Humana2,115251Insurance
Cedars-Sinai1,955960Hospital System
HCA Healthcare1,649362Hospital Chain
Royal Children's Hospital1,3982Hospital (AU)
Baptist Healthcare1,391240Hospital System
Christus Health1,123240Hospital System
Pfizer98650Pharma
Kaiser Foundation60920Health Plan
Stanford Hospital477120Academic Medical
Merck141119Pharma
Baylor College of Medicine8325,448Academic Medical

Hypertable Depth: Healthcare

Energy & Industrial

82 energy and industrial companies spanning oil/gas, utilities, renewables, and crypto mining.

Top Energy & Industrial Companies

CompanyDUMHypertablesCountry
Commonwealth Fusion Systems22,614137United States
Marathon Digital Holdings22,5004United States
National Solar Observatory17,4276United States
Ergon Energy Telecom13,0744Australia
Schlumberger11,47597United States
Emerson7,83052United Kingdom
Mashhad Electric (Iran)7,77526Iran
EP Energy6,69944United States
Wuxi Cogeneration6,179187China
Twig Energy4,88560Germany
NREL3,8622United States
Halliburton2,329174United States
ConocoPhillips95015US, Norway

Energy Sub-Sectors by DUM

Fleet, Auto & Logistics

Tesla leads with 136K DUM. FlightAware and ShipTracks are pure time-series companies tracking vehicles across air and sea.

Top Fleet, Auto & Logistics Companies

CompanyDUMHypertablesSegment
Tesla Motors136,030374Electric Vehicles
FlightAware32,69594Flight Tracking
ShipTracks15,86321Maritime Tracking
Honda (US)7,46033Auto Manufacturing
FedEx1,67746Package Logistics
Toyota (US)1,1538Auto Manufacturing
Oxford Univ Hospitals (fleet)1,025726Hospital Fleet
Alpine Aerotech69715Aviation MRO
Volvo Group NA6182Truck Manufacturing

Fleet & Logistics by DUM

Research & Education

276 universities and research institutions detected. MIT runs 21,108 hypertables — the deepest academic TSDB deployment globally.

Top Research & Education Institutions

InstitutionDUMHypertablesCountry
Oak Ridge National Lab227,3745United States
MIT121,10721,108United States
University of Florida72,176446United States
ETH Zurich68,076105Switzerland
HK Univ of Science & Tech52,82067Hong Kong
University of Pennsylvania50,40811United States
NASA47,4391,803United States
Vanderbilt University43,374194United States
San Diego Supercomputer Ctr40,1724United States
Bauman Moscow State Tech32,29092Russia
UT Austin (TACC)17,6423United States
CERN16,015391Switzerland
Leiden University15,6341Netherlands
CSIRO13,462586Australia

Top Research Institutions by Hypertables

Global Tech Giants

Yandex, Alibaba, Tencent, Huawei, and Baidu all have significant TSDB deployments on Timescale infrastructure.

Top Global Tech Giants

CompanyDUMHypertablesPrimary Region
Yandex Cloud203,44739,653Russia
Yandex LLC66,4662,246Russia
Alibaba (all regions)30,0201,572China
Huawei Cloud22,282904China
Tencent Cloud (Beijing)13,3171,503China
Tencent Cloud (other)10,2539,486China
Huawei Public Cloud8,038752China
Alibaba Advertising7,8560China
Alibaba Singapore6,683156SEA
Baidu4,67922China
Rakuten Mobile2,4713Japan

Global Tech Giants by Hypertables

Consumer & Retail

Recognizable consumer brands from Disney to Dolce & Gabbana found running TimescaleDB in production.

Consumer, Media & Retail Companies

CompanyDUMHypertablesSector
SoundStack Technologies143,3764Audio / Media
Target Stores86914Retail
Netflix831468Streaming
Marriott75318Hospitality
Disney696998Entertainment
Dolce & Gabbana3679Luxury Fashion
Coca-Cola HBC3319Beverages
Hilton1974Hospitality
Hotel Ritz Paris19151Hospitality
Starbucks1325Restaurant / Retail
Home Depot1231Home Improvement
Snap-on Inc1115Tools / Industrial

Consumer Brands by Hypertables

Geography

Gottingen, Germany is the #1 city by usage. Ashburn, VA leads in the US. Cloud data center hubs dominate the top 10.

Top Cities by DUM

Geographic Notes

Gottingen, Germany at #1 is striking: nearly 12M DUM from just 165 IPs. This is likely a single large organization, possibly a university or research institute with massive time-series workloads.

Ashburn, VA and Frankfurt are major cloud data center hubs (AWS us-east-1 and eu-central-1), so these IPs represent hosted workloads rather than local companies.

Moscow at #7 is a compliance concern. See the Russia section below.

US data center cities in the top 30 (Ashburn, Portland, Dublin OH, Boydton VA, Council Bluffs IA) indicate heavy cloud-hosted TSDB workloads that may already be good TigerData migration candidates.

Russia Compliance

816 Russian organizations generating 2.2M DUM across 2,278 IPs. Timescale does not service Russia.

Top Russian Organizations

OrganizationDUMIPsHypertables
Netrack Dataline486,8722198
Yandex Cloud203,44713539,653
Yandex LLC66,466452,246
Vimpelcom (PJSC)43,07338304
Teleos39,641612
Bauman Moscow State Tech Univ32,2904692
DC Imaqliq28,75636
Host Expert LLC27,806210
Wildberries26,11771,724
Reg.Ru22,33610105

Flagged Entities

Government / State-affiliated: Bauman Moscow State Technical University (military-adjacent engineering school), Russian Academy of Sciences, Moscow State University

Sanctioned or high-risk: Yandex (subject to varying sanctions), Vimpelcom/VEON (telecom with sanctions exposure), Rostelecom (state-controlled telecom)

Heavy TSDB users: Yandex Cloud (39,653 hypertables), Wildberries (1,724 HTs, Russia's largest e-commerce platform), Sovintel/VEON subsidiaries appear under 10+ org name variants

Recommendation: These 2,278 Russian IPs generating 2.2M DUM should be reviewed by legal/compliance. Given that Timescale does not service Russia, this usage may represent unauthorized access to self-serve infrastructure.

Sales Playbook

Five concrete plays to convert observed TSDB usage into TigerData pipeline.

Play 1: Chicago Fintech Cluster

Four HFT firms in Chicago are all running deep TSDB deployments. This is a vertical micro-market.

FirmDUMHypertablesHQ
Tower Research Capital44,4051,433NYC / Chicago
W.H. Trading25,6572,706Chicago
Peak 6 Investments24,1574,413Chicago
IMC-Chicago14,314811Chicago

Combined: 108K DUM, 9,363 hypertables. HFT firms pay premium for low-latency, high-throughput time-series. Position TigerData's managed infrastructure as eliminating ops overhead while guaranteeing performance SLAs.

Play 2: Cybersecurity Telemetry

Zscaler and Cato Networks together represent 320K+ DUM across hundreds of global nodes. Network security logs are append-only, time-ordered, and high-volume, the ideal TSDB workload.

CompanyDUMGlobal NodesHypertables
Zscaler185,87420+ countries10,000+
Cato Networks134,185285 IPs5,205

Play 3: Semiconductor Manufacturing

Fab metrology and chip test data generate massive time-series volumes. Three semiconductor equipment leaders are already running TSDB.

CompanyDUMHypertablesMarket Cap
KLA Corporation33,38675$60B+
Broadcom / Avago23,153536$700B+
Lam Research10,522196$90B+

Play 4: Logo Deals for Case Studies

Some companies have smaller TSDB footprints but enormous brand value. A TigerData deal with any of these unlocks case study and co-marketing opportunities.

CompanyDUMWhy It Matters
Tesla136,030Electric vehicle telemetry. Iconic brand.
Boeing3,720Aerospace + defense credibility.
NASA47,439Government reference customer.
Disney696Streaming + theme park IoT.
Nvidia4,000AI infrastructure leader.

Play 5: Russia Compliance Block + Upsell

Blocking 2,278 Russian IPs creates a forcing function to engage legitimate international customers who may be sharing infrastructure. Use the compliance cleanup as an opportunity to migrate real customers to TigerData's managed platform with proper access controls and geo-fencing.