# Expectations across two tables/assets

**URL:** <https://discourse.greatexpectations.io/t/expectations-across-two-tables-assets/2334>\
**Category:** GX Core Support\
**Created:** [February 17, 2026, 4:35pm UTC](https://discourse.greatexpectations.io/t/expectations-across-two-tables-assets/2334 "2026-02-17T16:35:57Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![nevintan](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.greatexpectations.io/nevintan/32/272_2.png) [@nevintan](https://discourse.greatexpectations.io/u/nevintan)\
**Post date:** [February 17, 2026, 4:35pm UTC](https://discourse.greatexpectations.io/t/expectations-across-two-tables-assets/2334/1 "2026-02-17T16:35:57Z")

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> [@](#):
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> **[View in #gx-community-support on Slack](https://slack.com/archives/CUTCNHN82/p1771252340903609)**
> 
> ![Adaya_Shah](https://canada1.discourse-cdn.com/flex031/uploads/greatexpectations/original/1X/1f45c83e73638b491f76254c58954cdbc81c1191.png) @Adaya\_ShahAdaya\_Shah\*\*:\*\* Hi all - does anyone know if we have provisions in GX for being able to perform checks across two tables/so@Akshat\_Vasavadarces?
> 
> ![Akshat_Vasavada_(GX)](https://canada1.discourse-cdn.com/flex031/uploads/greatexpectations/original/1X/2b631004334a7d4590cf8e48e98629477897b172.png) @Akshat\_Vasavada\*\*\_(GX):\*\* Hi, Adaya! Can you provide more detail on what you are trying to test?
> 
> To answer your question directly: GX can support running the same test across multiple Assets. The best way to do that depends on what you want to test.
> 
> ![Adaya_Shah](https://canada1.discourse-cdn.com/flex031/uploads/greatexpectations/original/1X/1f45c83e73638b491f76254c58954cdbc81c1191.png) @Adaya\_Shah\*\*:\*\* Thanks Akshat, I meant if there is a way to integrate this into the custom expectation itself.  
> The way we run our GX tests is by orchestrating them via Glue jobs \>\> Airflow DAGs.  
> Basically what I wanted to do was compare the value of a certain cell within today’s set of data to its equivalent within yesterday’s data and check for deviations. The datasets I want to compare exist as different subfolders in s3 in the exact same format.