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Great Expectations vs Soda
Great Expectations is a code-first library with an optional hosted layer; Soda pairs a YAML check language with a SaaS platform built for collaboration.
Side by side
| Great Expectations | Soda | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vendor | GX (Great Expectations) | Soda Data NV | ||||||||||||
| Pricing model | Free tier + paid plans | Free tier + paid plans | ||||||||||||
| Free tier | Yes | Yes | ||||||||||||
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted | ||||||||||||
| Open source | Yes (Apache-2.0) | No (Elastic-2.0) | ||||||||||||
| Best for | Data and ML engineering teams wanting code-first, version-controlled data quality tests. | Teams wanting a check-as-code data quality tool with an optional collaborative SaaS layer. | ||||||||||||
| Pricing | Open-source library is free; GX Cloud has a free Developer plan plus quote-based Team and Enterprise plans.
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget. | Free plan available; Team is a flat monthly fee plus pay-as-you-go usage; Enterprise is custom.
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget. | ||||||||||||
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Verdict
Both let you declare checks as code and run them in CI or on a schedule, and both have a free way to start and a paid platform layered on top. The difference is where the center of gravity sits: Great Expectations is a Python library first, with a hosted UI (GX Cloud) added afterward; Soda is built around its check-as-code language, SodaCL, with a collaborative SaaS product (Soda Cloud) as a first-class part of the product from the start, including a genuinely usable free tier.
Great Expectations' strength is depth of integration into a Python-centric pipeline — Airflow, dbt, Dagster — and auto-generated documentation of every check that ran. Soda's strength is collaboration features aimed at non-engineers too: a no-code check builder, data contracts between the team that owns a table and the teams that consume it, and catalog integrations, alongside the YAML-based SodaCL for engineers who prefer code.
One licensing note worth checking before you commit: Soda Core was relicensed from Apache-2.0 to the source-available Elastic License 2.0 in January 2026. It is still free to run and self-host, but if you plan to embed it in software you distribute, read the current terms rather than assuming the old license still applies. Great Expectations' core library remains Apache-2.0.
Choose Great Expectations if
- Your team is Python-first and wants checks to live in the same codebase and CI as everything else.
- You want auto-generated documentation of what was validated, without building that yourself.
- You are already using Airflow, dbt or Dagster and want a validation step that plugs directly in.
Choose Soda if
- You want data contracts and a no-code path so people outside the data team can define or review checks.
- A collaborative dashboard, history and alerting matter from day one, not as something bolted on later.
- You want to start on a free SaaS tier without standing up any hosting yourself.
The honest caveat
Neither tool's check library is dramatically more thorough than the other's for the common cases — missing values, duplicates, freshness, range checks. Pick based on whether your team writes Python or YAML day to day, and whether the people who need to see results are engineers who will read a repo or stakeholders who need a dashboard.
Last reviewed September 22, 2026