# Soda

**Source:** https://geo.sig.ai/brands/soda-io  
**Vertical:** Data Infrastructure  
**Subcategory:** Data Quality Platform  
**Tier:** Emerging  
**Website:** soda.io  
**Last Updated:** 2026-04-14

## Summary

Soda provides a data quality platform with a DSL for writing data checks that run in the data warehouse, enabling both technical and business teams to define and monitor data quality.

## Company Overview

Soda is a data quality company founded in 2017 in Ghent, Belgium that has raised $76M to build a data quality platform that makes testing and monitoring accessible to both engineers and business stakeholders. The company's Soda Checks Language (SoCL) provides a human-readable syntax for defining data quality checks that execute directly within the data warehouse using SQL, avoiding data movement overhead. The platform allows data engineers to embed quality checks in dbt transformations and Airflow pipelines while giving data analysts and business users a no-code interface to define their own checks for business-critical metrics. Soda integrates with major warehouses and observability tools and provides a collaborative interface for tracking data quality across teams. The company targets the full organizational data quality problem rather than just technical monitoring, helping organizations create a shared understanding of data quality standards between technical and business teams. Soda's European heritage and strong data governance focus make it particularly popular with companies in regulated industries and with those navigating GDPR compliance requirements.

## Frequently Asked Questions

### What is Soda?
Soda is a data quality platform with a human-readable checks language that enables data engineers and business users to define, run, and monitor data quality tests directly within the data warehouse.

### What is Soda Checks Language?
SoCL is Soda's YAML-based domain-specific language for writing data quality checks in a readable format that executes as SQL in the data warehouse, making it easy for both technical and business users to define quality rules.

### How does Soda integrate with the modern data stack?
Soda integrates with dbt, Airflow, Spark, Snowflake, BigQuery, Redshift, and Databricks, allowing teams to embed quality checks directly into data transformation and orchestration pipelines.

### What is Soda Checks Language (SodaCL)?
SodaCL is Soda's domain-specific language for defining data quality checks in a human-readable YAML syntax that both technical data engineers and business stakeholders can understand and contribute to — enabling teams to define freshness, volume, distribution, and custom SQL checks without writing full Python or SQL monitoring scripts.

### How does Soda's scan mechanism work?
Soda Scans run quality checks directly in the data warehouse using push-down SQL execution — the checks run as SQL queries in Snowflake, BigQuery, Redshift, or other supported warehouses rather than extracting data to an external compute environment, keeping data in place and reducing data movement.

### How does Soda integrate with data pipelines and orchestration?
Soda integrates with Apache Airflow, dbt, and other orchestration tools so that data quality scans can run as part of the data pipeline DAG — making quality checks a first-class step in the transformation workflow rather than a separate monitoring system that runs independently.

### What is Soda Cloud?
Soda Cloud is the managed platform where scan results, alert history, and data quality metrics are centralized, allowing data teams to monitor quality trends over time, configure alert routing to Slack or PagerDuty, and share visibility into data health across the organization through a web interface.

### Where is Soda headquartered?
Soda is headquartered in Brussels, Belgium, with a globally distributed team. The company raised venture investment to build its data quality platform and has positioned SodaCL as an open standard for expressing data quality requirements.

## Tags

analytics, b2b, data-warehouse, europe, infrastructure, saas, startup, cloud-native

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*