Datafold
6.0#4 in data observability toolsWebAPISelf-hosted
VisitDatafold vs Soda
What both publish
| Fact | Datafold | Soda |
|---|---|---|
| Deployment | Datafold is a web-based application offered as multi-tenant SaaS or dedicated cloud, including customer-hosted options. | Soda offers three deployment models based on infrastructure and data privacy needs. |
| Founded | 2020 | 2019 |
| Integrations | The product page names Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, GitHub, and GitLab, and says Datafold integrates with 50+ data tools. | Soda advertises integrations with data-stack tools, catalogs, orchestration systems, incident-management tools and CI/CD workflows. |
| Intended users | Datafold says it exists to empower data and analytics engineers and help data teams build reliable data products faster. | Soda describes its workflow as serving data engineers, data producers and consumers, governance teams, and platform teams. |
| Purpose | Datafold combines specialized AI agents, a context layer, and data quality tools to automate data engineering. | Soda is a data quality platform for monitoring data quality, catching problems early, understanding issues at source, and taking action. |
Datafold plans
- Custom pricingPriced on request
Soda plans
- FreeFree
- Team$750 a month
- EnterprisePriced on request
Pick Datafold if…
Datafold suits teams that need schema migration tests and data quality checks across its supported databases. It is a fit for users comfortable writing tests in SQL or YAML.
Pick Soda if…
Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams who need data checks and observability across workflows.