Soda
Chicago, Illinois, United States; Brussels, Belgium
What it is
Soda is a data quality platform for monitoring production data, testing pipelines, and investigating issues. Its machine-learning-powered observability looks for unexpected changes without requiring every rule to be specified in advance. Data testing is available during development, deployment, transformation, and CI/CD workflows, helping teams identify issues before production. Data contracts let producers and consumers establish expectations for schemas, data types, value ranges, and other constraints. Integrations include Databricks, Snowflake, PostgreSQL, Airflow, dbt, Slack, Microsoft Teams, Jira, and PagerDuty. Soda lists support for databases and query engines including Athena, BigQuery, Databricks SQL, MySQL, Oracle, PostgreSQL, Redshift, Snowflake, and Trino. It offers three deployment models for differing infrastructure and data privacy needs. Its Trust Center lists SOC 2 Type 2, SOC 3, DORA, and GDPR, along with controls such as SSO and encryption in transit and at rest. Sample rows are not collected by default. Soda offers a Free plan at no cost and a Team plan at $750 a month.
For and against
For
- Observability flags unexpected changes without predefined rules.
- Testing covers development, deployment, transformation, and CI/CD.
- Data contracts define schemas, types, ranges, and constraints.
- Sample rows are not collected by default.
Against
- Team costs $750 a month.
- Premium support is listed as an Enterprise feature.
The verdict
Soda combines production monitoring with data testing and contracts for teams working across data pipelines. Its Free plan provides a way to start, while Team is listed at $750 a month.
Who it suits
Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams. Its testing workflows may suit teams looking to check data quality before and after production deployment.
Plans and prices
Free
pipeline testing · metrics observability · alerting and ticketing integrations · no credit card required
Read 15 Oct 2026 · soda.io
Team
unlimited users · pay as you go for additional Soda Processing Units · catalog integrations · add-ons available
Read 15 Oct 2026 · soda.io
Enterprise
collaborative data contracts · no-code interface · advanced AI data quality · audit logs
Read 15 Oct 2026 · soda.io
On the record
- Adaptive thresholds
- Monitoring supports intelligent adaptive thresholds as well as user-defined thresholds.soda.io · read 15 Oct 2026
- AI automations
- Soda can turn plain-language requests into checks and generate complete data contracts through a copilot workflow.soda.io · read 15 Oct 2026
- AI monitoring
- Its monitoring uses machine-learning methods to detect unexpected metric changes without requiring every rule to be predefined.docs.soda.io · read 15 Oct 2026
- CLI and Python API
- Soda documents command-line and Python interfaces for configuring and automating verification workflows.docs.soda.io · read 15 Oct 2026
- Collaborative contracts
- Engineers manage versioned contracts in Git while business users review or propose changes in the interface.soda.io · read 15 Oct 2026
- Company LinkedIn facts
- LinkedIn lists Soda as a privately held Brussels software company founded in 2018 with a stated size of 11–50 employees.linkedin.com · read 15 Oct 2026
- Company locations
- Soda Data, Inc. lists an address in Chicago, Illinois, and Soda Data NV lists an address in Brussels, Belgium.soda.io · read 30 Sep 2026
- Customer data control
- Soda states that diagnostic data stays in the customer’s cloud and remains under customer control.soda.io · read 15 Oct 2026
- Data contracts
- Data contracts define expected schemas, data types, value ranges, and other constraints for collaboration between data producers and consumers.docs.soda.io · read 30 Sep 2026
- Data testing
- Soda supports testing data during development, deployment, transformation, and CI/CD workflows to catch issues before production.docs.soda.io · read 30 Sep 2026
- Deployment
- Soda offers three deployment models based on infrastructure and data privacy needs.docs.soda.io · read 30 Sep 2026
- Deployment choices
- Documented deployment models are Soda Python Libraries, a Soda-hosted Agent and a self-hosted Agent.docs.soda.io · read 15 Oct 2026
- Diagnostics warehouse
- Failed records are written to a customer-selected warehouse for investigation while remaining in the customer environment.soda.io · read 15 Oct 2026
- Documentation depth
- Public documentation covers quickstarts, YAML contract language, CLI and Python references, data-source connections, architecture and release notes.docs.soda.io · read 15 Oct 2026
- Funding
- CB Insights reports Soda’s latest funding round as a $14 million Series B announced on July 3, 2024.cbinsights.com · read 15 Oct 2026
- Historical analysis
- Built-in backfilling and backtesting can analyze up to one year of historical data for patterns and trends.soda.io · read 15 Oct 2026
- Independent licensing assessment
- Data Stack Index characterizes Soda Core v4 as source-available Elastic License 2.0 rather than OSI-approved open source, while older v3 remained Apache 2.0.datastackindex.com · read 15 Oct 2026
- Independent technical description
- Shipshape Data describes Soda Core as a YAML-based testing framework while Soda Cloud adds scheduled scans, dashboards and alerting.shipshapedata.com · read 15 Oct 2026
