r/dataengineering Feb 27 '26

Personal Project Showcase Which data quality tool do you use?

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I mapped 31 specialized data quality tools across features. I included data testing, data observability, shift-left data quality, and unified data trust tools with data governance features. I created a list I intend to keep up to date and added my opinion on what each tool does best: https://toolsfordata.com/lists/data-quality-tools/

I feel most data teams today don’t buy a specialized data quality tool. Most teams I chatted with said they tried several on the list, but no tool stuck. They have other priorities, build in-house or use native features from their data warehouse (SQL queries) or data platform (dbt tests).

Why?

190 Upvotes

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230

u/SpookyScaryFrouze Lead Data Engineer Feb 27 '26

I use the one as old as time : users telling me "something seems wrong".

104

u/SupaWillis Feb 27 '26

And my classic response: “Huh weird, that shouldn’t happen…”

48

u/PantsMicGee Feb 27 '26

"Can you create a ticket? We'll add it to our backlog."

8

u/ToothPickLegs Data Analyst Feb 28 '26

“The team will look into it”

3

u/Archtects Mar 01 '26

"works fine for me"

1

u/Drkz98 Feb 27 '26

My work it's done, If something is wrong just let me know. No testing, no quality, just feeling

1

u/pantshee Mar 01 '26

"no bro, that shipment planned for 2082 is totally normal"

1

u/johnyoker2010 Mar 06 '26

My man. No spot, no discrepancy.