Elementary

Elementary is an Israeli data observability company that developed an open-source tool for monitoring data quality within dbt pipelines. The core product connects directly to dbt environments, enabling data teams to detect quality issues, anomalies, and failures in their data pipelines. Detailed public information about the company — including founding year, headcount, funding history, and founders — is not available to me in a verified form.

The product, called elementary, delivers data observability capabilities for analytics and data engineering teams. It operates as a dbt package, allowing direct integration into existing dbt projects without requiring separate infrastructure. The primary audience is data engineers and analysts working with dbt on Snowflake, BigQuery, Databricks, and other data warehouse platforms.