Great Expectations vs Sqitch
Great Expectations
greatexpectations.ioSqitch
sqitch.orgSide by side
| Figure | Great Expectations | Sqitch |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Database Testing Tools | 8.2 (#9) | 8.0 (#12) |
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.
Sqitch
Sqitch is a database change management application for deploying and tracking database changes. It is a standalone system, not tied to a framework, ORM, database engine, or development environment. Changes are written as scripts native to the chosen database, and can declare dependencies—including changes in other Sqitch projects—to establish execution order. A plan file and Merkle tree pattern support deployment integrity without requiring numbered change names. Sqitch can deploy and revert changes, report status and history, and run optional verification scripts. Its manual lists PostgreSQL, YugabyteDB, CockroachDB, SQLite, MySQL, MariaDB, Oracle, Firebird, Vertica, Exasol, Snowflake, and ClickHouse. Connecting and executing scripts requires the database's native command-line client and connector libraries. Installation options include source, Docker, Linux distribution packages, macOS Homebrew, and Windows instructions. Sqitch is free, with a license permitting use and distribution, and is available for Linux, macOS, Windows, and self-hosted use.