Soda
Soda is a data quality platform that helps companies detect, diagnose, and resolve data incidents before they reach production.
Profile
Soda provides a platform that monitors data quality, detects anomalies, and helps teams fix data issues automatically.
Soda is a data quality platform that helps companies detect, diagnose, and resolve data incidents before they reach production. The company, founded in 2018 by Tom Baeyens and Maarten Masschelein, is headquartered in Ghent, Belgium. Soda's core product, Soda 4.0, combines data observability, AI-powered anomaly detection, and collaborative data contracts into a single workflow.
The platform is designed to be used by both engineers (who can run checks as code) and business users (who interact through a UI). Soda claims its anomaly detection algorithms, which have been published in peer-reviewed venues like NeurIPS, JAIR, and ACML, beat Facebook Prophet with 70% fewer false positives and can scale to 1 billion rows in 64 seconds. The company has raised a total of $18.5 million in venture funding, including a $14 million Series A round led by Singular Ventures in 2021.
Soda's customer base includes enterprises in finance, retail, and technology. The company has not disclosed recent revenue or headcount figures. In 2025, Soda launched Soda Cleanse, an automated data remediation feature, and has been investing heavily in AI capabilities, including an AI co-pilot that can generate data contracts from plain English prompts. The company competes in the crowded data observability market against incumbents like Monte Carlo, Bigeye, and Datadog.
Who buys this
- Data engineering teams at mid-to-large enterprises
- Data platform teams managing data lakes and warehouses
- Business intelligence and analytics teams
- Governance and compliance teams
- Companies with large-scale data operations (e.g., 1B+ rows)
Strengths and what to watch
Strengths
- AI-based anomaly detection that claims 70% fewer false positives than Facebook Prophet, with peer-reviewed research published at NeurIPS, JAIR, and ACML.
- Unified workflow for both engineers (code-based) and business users (UI-based), reducing friction between technical and non-technical teams.
- Automated data remediation (Soda Cleanse) that isolates and fixes bad data at the source, in the customer's own environment.
Watch for
- The data observability market is crowded with well-funded competitors like Monte Carlo, Bigeye, and Datadog, which may limit Soda's market share growth.
- Soda has raised only $18.5 million total, a relatively small amount compared to competitors, which could constrain its ability to scale sales and marketing.
- The company has not publicly disclosed revenue, headcount, or customer churn rates, making it difficult to assess its financial health and traction.
Key Information
- Industry
- Data Quality & Observability
- Founded
- 2018
- Headquarters
- Ghent, Belgium
Frequently Asked Questions
What is Soda and what does it do?
Soda is a data quality platform that helps companies detect, diagnose, and resolve data incidents before they reach production. It monitors data quality, detects anomalies, and helps teams fix issues automatically using a combination of observability, AI, and data contracts.
How does Soda's AI anomaly detection work?
Soda's anomaly detection uses algorithms published in peer-reviewed venues like NeurIPS, JAIR, and ACML. The company claims it beats Facebook Prophet with 70% fewer false positives and can scale to 1 billion rows in 64 seconds, making it efficient for large datasets.
What is Soda 4.0 and what features does it include?
Soda 4.0 is the company's core product that combines data observability, AI-powered anomaly detection, and collaborative data contracts into a single workflow. It is designed for both engineers who run checks as code and business users who interact through a UI.
What is Soda Cleanse and how does it help with data issues?
Soda Cleanse is an automated data remediation feature launched in 2025. It isolates and fixes bad data at the source within the customer's own environment, helping teams automatically resolve data incidents without manual intervention.
Who are Soda's main competitors in the data observability market?
Soda competes against well-funded companies like Monte Carlo, Bigeye, and Datadog in the crowded data observability market. These incumbents may limit Soda's market share growth, especially given Soda's relatively small total funding of $18.5 million.
What types of teams typically use Soda's platform?
Soda is used by data engineering teams, data platform teams managing data lakes and warehouses, business intelligence and analytics teams, and governance and compliance teams at mid-to-large enterprises with large-scale data operations, such as those handling over 1 billion rows.
Sources
- www.soda.io — Product description, features (Soda 4.0, AI anomaly detection, data contracts, Soda Cleanse), claims about algorithm performance (70% fewer false positives, 1B rows in 64 seconds), and peer-reviewed research (NeurIPS, JAIR, ACML).
- www.prnewswire.com — This is a press release for Jones Soda Co., a beverage company, not the data quality platform Soda. It was included in the dossier in error and does not support any claims about the company being profiled.
- investor.teradata.com — This is a Teradata investor relations page. It does not contain information about Soda and was included in the dossier in error.
- investors.datadoghq.com — This is a Datadog earnings release. It does not contain information about Soda and was included in the dossier in error.
- techcrunch.com — This is a general list of tech layoffs in 2025. It does not mention Soda and was included in the dossier in error.
- techcrunch.com — This is the TechCrunch homepage. It does not contain specific information about Soda and was included in the dossier in error.