Open-source data observability for data teams
Elementary enables data teams to detect problems in their data before their users do. An open-source solution that any data engineer can deploy in minutes without sharing sensitive data.
What they do:
Build in a weekend. Scale to millions.
Quick facts:
HQ: San Francisco, CA, United States
Funding:
$150M · Oct 2026
What they do:
Context layer for production-grade AI agents
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What they do:
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The open source Looker alternative
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What they do:
You should just use Postgres.
Quick facts:
HQ: San Francisco, CA, United States
Open-source data observability for data teams
Tel Aviv, Israel
12 employees, according to the company profile.
There are no funding rounds for Elementary in our data.
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