# Elementary

> Elementary is an open-core data reliability company that began with a dbt-native monitoring tool and expanded into a paid control plane for observability, quality, governance, discovery, lineage, incident management, and AI-assisted reliability work. Its wedge is practical: keep configuration in code, work from metadata rather than copying raw customer data, and fit into the tools data teams already use. The free OSS layer drives adoption; quote-priced cloud plans sell automation, wider visibility, integrations, security, and scale to engineering, analytics, governance, and business teams.

- **Founded:** 2021
- **Headquarters:** Tel Aviv-Yafo, Israel
- **Founders:** Maayan Salom (CEO & Co-Founder), Or Avidov (CPTO & Co-Founder)
- **Team size:** 11-50 employees; LinkedIn displayed 44 employee profiles at research time, while Y Combinator listed a 12-person team.
- **Products:** Elementary OSS dbt package and CLI, Elementary Cloud, Ella AI agents, Elementary MCP Server, Elementary 2.0
- **Notable:** Accepted into Y Combinator's Winter 2022 batch., Reached 500 GitHub stars by April 2022 and roughly 2,400 stars by August 2026., Grew to more than 30 open-source contributors by December 2022.

## Products & services

- **Elementary OSS dbt package and CLI** — Apache-2.0 open-source tooling that reads dbt artifacts and warehouse metadata, runs anomaly-detection tests, generates observability reports, and sends alerts to Slack or Microsoft Teams.
- **Elementary Cloud** — Managed SaaS for automated monitors, anomaly detection, column-level lineage, data tests, incident management, catalog, health scores, integrations, security controls, and larger-team workflows.
- **Ella AI agents** — Specialized agents for test recommendations, incident triage, governance, catalog work, and performance or cost analysis, with code-native and reviewable workflows.
- **Elementary MCP Server** — An interface that exposes observability metadata, lineage, coverage, and incident context to MCP-enabled assistants and developer tools without exposing raw data.
- **Elementary 2.0** — A broader data and AI control plane that combines observability, quality, governance, discovery, SQL and Python pipeline context, and agent workflows.

## Achievements

- Accepted into Y Combinator's Winter 2022 batch.
- Reached 500 GitHub stars by April 2022 and roughly 2,400 stars by August 2026.
- Grew to more than 30 open-source contributors by December 2022.
- Company reports more than 1,500 data teams and a community of roughly 3,000 members.
- Dooly reported 90% dbt-model test coverage and 75% fewer support messages caused by business users finding incorrect data.
- Kaiyo reported shrinking anomaly discovery from one week to one month down to within 24 hours.
- Named by Elementary as a Representative Vendor in Gartner's 2026 Market Guide for Data Observability Tools.
- Became available through AWS Marketplace in December 2025.

## Latest updates

- **2025-05** — Introduced Ella, a layer of specialized AI agents for coverage, triage, governance, catalog, and performance workflows.
- **2025-07** — Released an MCP server connecting lineage, test coverage, pipeline history, and incidents to MCP-enabled assistants and IDEs.
- **2025-12** — Announced Elementary 2.0, broadening the product from dbt-centric observability into a data and AI control plane; also launched AWS Marketplace availability.
- **2026-01** — Added business-user discovery, health visibility, plain-language checks, and impact-oriented alerts.
- **2026-02** — Added cross-project dbt lineage and wider visibility for non-dbt assets.
- **2026-04** — Expanded agent context and actions with PR code review, Fivetran and Lightdash integrations, semantic-layer lineage, Jira sync, and plan mode.
- **2026-04** — Disclosed that malicious code entered OSS CLI v0.23.3 through a GitHub Actions script-injection flaw; removed the release, rotated credentials, released v0.23.4, and hardened release workflows.
- **2026-05** — Unified its specialized agents into one orchestrated experience and added beta incident grouping, broader warehouse-usage context, data-contract testing, and Fivetran failure alerts.
- **2026-07** — Presented a live demonstration of its autonomous data-management direction; no later product release was publicly listed at research time.

## Links

- Website: https://www.elementary-data.com
- LinkedIn: https://www.linkedin.com/company/elementary-data
- Twitter/X: https://twitter.com/ElementaryData
- GitHub: https://github.com/elementary-data/elementary
- Facebook: https://facebook.com/ElementaryData/

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Profile page: https://yespress.io/elementary
Published by YesPress — https://yespress.io
Last updated: 2026-08-20