We at Metabase asked 338 teams in our community about how they build and use their data stacks, from tool choices to AI adoption, and built a community resource for data stack decisions in 2025.
Some of our findings:
- Postgres wins it all: #1 transactional DB and #1 analytics storage
- 50% of teams skip warehouses/lakes
- Data teams stay small: most are just 1-3 people, even at big companies
- AI trust is shaky: average confidence only 5.5/10
There’s much more to see. Check it out and let us know what you think.
This isn't another dull "what's your data stack" survey. We want to dive deep into the real reasons behind the choices data teams make, when they make them, and whether they're truly happy with their decisions. We're still collecting responses, but so far, the average satisfaction score for current data stacks is only 7. Where do you stand?
Once we have the full results, we'll create a no-marketing, no-BS guide and open-source everything: the results, dataset, and report. No gates, no fluff, just facts.
Earlier this year, we conducted an anonymous data stack survey with 189 responses. While our insights aren't statistically representative of all data professionals, and 89% of the responders were Metabase users, they still reveal interesting findings, such as the impact of a specific database on team morale or distributed teams being more self-serve than localized teams. Read the report for more.
Some of our findings: - Postgres wins it all: #1 transactional DB and #1 analytics storage - 50% of teams skip warehouses/lakes - Data teams stay small: most are just 1-3 people, even at big companies - AI trust is shaky: average confidence only 5.5/10
There’s much more to see. Check it out and let us know what you think.