Company Overview
Snapshot
Founded in August 2021 by Or Avidov and Maayan Salom, Elementary Data operates with 11–50 employees. The company has secured funding across one round from four investors, including Cowboy Ventures, to develop its data observability solution. In December 2022, the company received funding from Cowboy Ventures and TLV Partners.
Business overview
Elementary Data provides an open-source data observability framework designed to help data teams proactively identify and resolve data quality issues. Its core technology enables the detection of data problems before they impact users, storing logs, metadata, and metrics in a data warehouse for easy integration with existing data infrastructure. The solution also offers a dbt (data build tool) package for seamless deployment and configuration within a dbt environment, serving the enterprise software market and operating within the Business Software sector.
Strategic signal
In December 2022, Elementary Data secured funding from investors including. This investment validates the market's demand for robust data observability solutions and signals investor confidence in Elementary Data's open-source approach to helping enterprises maintain data integrity and prevent data-related disruptions.
Company Intelligence Q&A
- What is Elementary Data's primary offering?
- Elementary Data offers an open-source data observability framework that enables data teams to detect problems in their data before they impact users. The solution stores logs, metadata, and metrics in a data warehouse for custom detections.
- When was Elementary Data founded?
- Elementary Data was founded in August 2021 by Or Avidov and Maayan Salom.
- Which investors participated in Elementary Data's funding round?
- In December 2022, Elementary Data received funding from investors including.
- What is the employee count for Elementary Data?
- Elementary Data currently has 11–50 employees.
- How does Elementary Data integrate with existing data tools?
- Elementary Data provides a data build tool (dbt) package that can be easily installed and configured directly from a dbt project, allowing for seamless integration into existing data environments.