Datafold vs Great Expectations
Datafold
datafold.comGreat Expectations
greatexpectations.ioSide by side
| Figure | Datafold | Great Expectations |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Database Testing Tools | 8.1 (#10) | 8.2 (#9) |
| Compliance | The Trust Center lists GDPR, HIPAA, and SOC 2 compliance statuses and provides access to security documentation, including a SOC 2 report and penetration test report. | Great Expectations states that it has SOC 2 Type II certification, and a HIPAA business associate agreement is available for Enterprise customers. |
| Founded | 2020 | 2018 |
| Security | The Trust Center lists GDPR, HIPAA, and SOC 2 compliance statuses and provides access to security documents. | GX Cloud metadata is encrypted at rest with AES-256 and in transit with TLS 1.2, and tenant isolation uses Postgres Row Level Security. |
| Target users | Datafold describes its platform as helping data teams and their coding agents ship higher-quality data faster and automate data engineering workflows. | GX Cloud is designed for data teams and provides an interface accessible to both technical and nontechnical stakeholders. |
Plans
Great Expectations
- DeveloperFree
- EnterprisePriced on request
- TeamPriced on request
In their own words
Great Expectations
Great Expectations (GX) is a framework for defining data tests and checking whether data meets their criteria. GX Core is a Python library for building and running data-validation workflows, and it requires Python versions 3.10 through 3.13. GX Cloud provides a web interface for data teams, including technical and nontechnical stakeholders, and runs tests in the environment where connected data resides using read-only connections. Data Docs turns Expectations, validation results, and related metadata into static web pages. GX lists data-source integrations including Databricks, BigQuery, Pandas, PostgreSQL, Snowflake, Spark, Redshift, and cloud storage services. Notification integrations include Slack, Email, PagerDuty, OpsGenie, and Microsoft Teams; orchestration integrations include Apache Airflow, Dagster, and Prefect. Custom rules can be written with SQL in GX Cloud or through GX Core. The Developer plan costs nothing and covers up to five data assets under test per month and three users, with unlimited rows per asset. Team and Enterprise have custom data-asset limits and no listed prices.