List of Companies Using PostgreSQL

Prospecting companies using PostgreSQL? Here they are, biggest first, including Intuitive Machines, Jewelers Mutual Group and Litens Automotive Group. Open a company to see its revenue range, headcount, tech stack and the people to contact.

Company NameIndustryLocationFundingRevenueEmployees
$619M
$100M - $250M
729

$1B - $10B
729

$500M - $1B
729

$100M - $250M
729

$50M - $100M
729

$50M - $100M
729

$500M - $1B
729

$25M - $50M
729

$1M - $10M
728

$50M - $100M
728

$98M
$25M - $50M
728

$3.6B
$250M - $500M
728

$250M - $500M
728

$5.5M
$500M - $1B
728

$100M - $250M
728

$500M - $1B
728

$652M
$500M - $1B
728

$50M - $100M
728

$250M - $500M
728

$1B - $10B
728

Luxembourg, Luxembourg, Luxembourg
$250M - $500M
728

$3.6M
$50M - $100M
728

$500M - $1B
727

$100M - $250M
727

Chile, Aysén, Chile Chico
$123M
$10B+
727

$9.3M
$100M - $250M
727

$1B - $10B
727

Czech Republic, South Moravian, Zábrdovice
$107M
$250M - $500M
727

$50M - $100M
727

$24B
$1B - $10B
727

$100M - $250M
727

$25M - $50M
727

$10M - $25M
727

$60M
$1M - $10M
727

$1B - $10B
726

Colombia, Antioquia, Medellín
$76K
$25M - $50M
726

$500M - $1B
726

$149M
$500M - $1B
726

Turkey, Ankara, Çankaya
$4.9M
$1B - $10B
726

$54M
$250M - $500M
726

$1M - $10M
726

Czech Republic, Prague, Praha 8-libeň
$100M - $250M
726

$100M - $250M
726

$250M - $500M
726

$80M
$250M - $500M
726

$136M
$250M - $500M
726

Hungary, Pest, Biatorbágy
$50M - $100M
725

Poland, Masovian, Warsaw
$100M - $250M
725

$138M
$100M - $250M
725

$10M - $25M
725

$25M - $50M
725

$250M - $500M
725

$250M - $500M
725

$250M - $500M
724

$500M - $1B
724

$247M
$1B - $10B
724

$100M - $250M
724

$776M
$50M - $100M
724

$397M
$100M - $250M
724

$805M
$250M - $500M
724

$28M
$10M - $25M
724

$25M - $50M
724

$1M - $10M
724

$500M - $1B
723

$100M - $250M
723

$25M - $50M
723

$250M - $500M
723

$500M - $1B
723

$8M
$500M - $1B
723

Indonesia, Jakarta, Jakarta
$100M - $250M
723

$229M
$250M - $500M
723

$1M - $10M
723

$279M
$100M - $250M
723

$25M
$250M - $500M
722

$126M
$500M - $1B
722

$500M - $1B
722

$100M - $250M
722

$500M - $1B
722

$6.8M
$500M - $1B
722

$250M - $500M
722

$25M - $50M
722

Hong Kong, Kowloon, Hung Hom
$1B - $10B
722

$10M - $25M
722

$500M - $1B
722

$100M - $250M
721

$69M
$100M - $250M
721

$25M - $50M
721

$100M - $250M
721

$36M
$100M - $250M
720

$100M - $250M
720

$397K
$250M - $500M
720

$490M
$500M - $1B
720

$850K
$100M - $250M
720

$500M - $1B
720

$250M - $500M
720

$8M
$500M - $1B
720

$500M - $1B
719

$500M - $1B
719

$50M - $100M
719

Hong Kong, Hong Kong Island, Quarry Bay
$10B+
719

About companies using PostgreSQL

Why target companies using PostgreSQL?

PostgreSQL is a Data, databases & BI technology. Companies running these tools have a real data stack, from warehouses and pipelines to BI, which makes them the audience for data, analytics and AI products. Companies on the list include Intuitive Machines, Jewelers Mutual Group and Litens Automotive Group.

Which industries use PostgreSQL the most?

Among companies using PostgreSQL on LeadIQ, the most common industries are Software Development, IT Services and IT Consulting, Financial Services, Technology, Information and Internet, Hospitals and Health Care and Higher Education. Narrow your list to the industry you sell into from there.

Where are companies using PostgreSQL located?

Companies using PostgreSQL are most often headquartered in the United States, the United Kingdom, Germany, France, Canada and India.

What other Data, databases & BI technologies do companies use?

Prospecting the wider Data, databases & BI space? Related technologies with their own company lists include Power BI, Tableau, Microsoft SQL Server and Elasticsearch.

How do I reach decision makers at companies using PostgreSQL?

Open a company to see its employee directory and email format, then use LeadIQ to get verified work emails and phone numbers for the people you want to reach and push them straight to your CRM or sequencer.

Insights based on LeadIQ data refreshed in September 2026.

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