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Elementary

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Elementary

Open-source data observability for data teams

elementary-data.com
HQ: Tel Aviv-Yafo, Tel Aviv District, Israel
11-50
B2B

Company research

Public company, workplace, funding, and market signals

Updated Jul 29, 2026

Overview

Elementary is a Tel Aviv-based, open-core data observability company founded in 2021 by Maayan Salom and Or Avidov. It sells Elementary Cloud plus an OSS/dbt-native stack for observability, data quality, governance, and discovery, and says it serves thousands of data teams.

Primary product

Elementary Cloud and the dbt-native open-source data observability platform

Founded

2021

Headquarters

Tel Aviv-Yafo, Tel Aviv District, Israel

Team size

11-50

Work style

Hybrid

Industry

Software Development

Sub-industry

Data observability / data quality / analytics software

Offices

Tel Aviv, Israel

Business model

Open-source software
Cloud SaaS subscription
Enterprise subscription
Open-core / self-hosted deployment

Funding

Stage

Seed

Total raised

$8.5M

Latest round

Seed · Jan 2023

Latest amount

$8M

Seed

Jan 2023 · TLV Partners

$8M

Pre-Seed

Mar 2022

$500K

People & investors

Leadership

Maayan Salom

CEO & Co-Founder

Or Avidov

CPTO & Co-Founder

Itamar Hartstein

CTO

Stas Michalski

VP GTM

Joost Boonzajer Flaes

Head of Solution Engineering

Ofek Weiss

Technical Lead

Investors

Cowboy Ventures
TLV Partners
Y Combinator
Y Combinator Continuity Fund

Work & culture

Open-source first, highly transparent, direct 'dugri' communication, strong ownership, community-driven, and people-first; the team emphasizes hybrid work and impact over rigid job boundaries.

Work style

Hybrid

Benefits

Hybrid work
Office in Tel Aviv
Open-source first
High transparency
Community-driven
People-first / wellbeing-first

Product & market

Pricing

Seat-and-environment based cloud subscription with additional credit-based pricing for some AI features; free trial available; self-hosted OSS is also available.

Differentiators

  • —dbt-native observability
  • —Open-source foundation plus cloud control plane
  • —Shared context engine across metadata, lineage, validations, incidents, and health
  • —AI agents for triage, coverage, governance, performance, and catalog workflows
  • —Code-first workflows with pull-request based changes
  • —Cloud product avoids direct raw-data access and relies on read-only metadata schema access
  • —SOC 2 Type II certified

Technology

dbt
Python
GitHub Actions
Docker
GitHub
Slack
Microsoft Teams
Linear
Notion
Google Workspace
Zoom
Spinach
Mintlify

Customers

Patagonia
Fiverr
New York Mets
Elastic
RGA
Now Pensions
StubHub International
Scalapay

Competitors

Monte Carlo
Anomalo

Scale & contact

Estimated revenue

≈$4.3M ARR (2025 estimate)

Estimated monthly visits

23.8K

team@elementary-data.com

Signals & risks

Other
Apr 2026

Elementary disclosed that version 0.23.3 of its OSS Python CLI was maliciously released through a GitHub Actions supply-chain attack; the company said Elementary Cloud and the dbt package were not affected.

Source

Latest news

Security Incident Report: Malicious release of Elementary OSS Python CLI v0.23.3

Elementary Data blog · Apr 2026

Official incident report on the malicious v0.23.3 OSS CLI release, remediation steps, and scope (Cloud/dbt package unaffected).

July Product Update

Elementary Data blog

Highlights new MCP Server support, better alerting/coverage, anomaly-detection improvements, and a ServiceNow integration.

March Product Announcement

Elementary Data blog

Introduces new integrations and agent capabilities, including Fivetran, semantic layers, Lightdash, code review, Jira/Slack/Teams/email workflows, and table usage context.

Introducing Ella: The AI Agents Layer for Data Observability

Elementary Data blog

Launch of Ella, a set of AI agents for coverage, triage, governance, performance, and catalog workflows.

Elementary 2.0: Trusted Data for the AI Era

Elementary Data blog

Announces a data and AI control plane with a shared context engine and AI agents for observability, quality, governance, and discovery.

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