The startup provides a cloud platform that standardizes data definitions across multi-cloud environments and identifies duplicate data pipelines for review. This enables cross-functional teams to efficiently manage, discover, and utilize metrics and machine learning features through a unified web portal.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data teams face increasing costs and complexity in managing data assets due to the growing demand for data, leading to friction in team collaboration and inefficient resource utilization. The proliferation of data pipelines and SQL queries results in redundant logic, increased storage costs, and difficulties in maintaining data observability and governance.
Solution
Single Origin provides an automated data semantic platform that optimizes and organizes data assets by consolidating SQL queries and pipelines, ensuring logic uniqueness and reusability. The platform analyzes query logs to identify expensive, redundant SQL logic and extracts shared logic to generate pre-aggregated tables, improving query performance and reducing compute costs. Single Origin catalogs queries as metric definitions accessible via UI or API, offering column-level lineage and usage statistics for actionable insights across the data stack. By simplifying data lineage and enforcing consistent access control, Single Origin streamlines data observability and governance.
Target Audience
The primary audience includes data engineers, data architects, and data analysts in data-driven organizations seeking to optimize their data infrastructure, reduce cloud costs, and improve team productivity.
Features
- Automated query audit to group similar queries and identify redundant SQL logic
- Extraction of shared logic to generate pre-aggregated tables for efficient query serving
- Query cataloging as metric definitions consumable via UI or API
- Column-level lineage and usage statistics for actionable insights
- Automated rewriting of raw queries to hyper-efficient queries without migration
- Cost savings reports providing insights into redundant tasks and optimization suggestions
- Metric and dimension-level access control with automatic policy propagation
- Integration with standard cloud providers and storage engines