Basedash SCIM - Your org changes. Access keeps up.

Basedash SCIM keeps workspace identity aligned with the directory your company already manages. As people join, change teams, or leave, users, groups, and organization memberships stay current—reducing app-by-app cleanup and helping leaders answer who still has access. Together with SSO, RBAC, and RLS, it gives enterprise teams more confidence to roll Basedash out without turning identity administration into a bottleneck. Your org changes. Access keeps up.

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Finally something that lets me skip the SQL step entirely. Asked it to break down churn by plan tier and the chart popped up in seconds, looks pretty solid for a quick read.

How does it handle more complex queries that need joins across multiple tables, especially when the natural language description is a bit ambiguous?

how does it handle data freshness when the source database gets updated a few times a day, does it auto-refresh or do i need to manually trigger it

the natural language to chart flow feels so smooth, especially how it just works without ever making me think about SQL. really clean execution.

how does it handle more complex queries that would normally need joins across multiple tables, does it still hold up or do you end up writing SQL under the hood anyway

Hooked up my Postgres database and asked for a retention chart by plan tier, came back accurate in seconds without me writing a line of SQL. The natural language prompts feel a lot less clunky than other AI BI tools I have poked at.

Finally something that lets me skip the SQL back-and-forth with my data team. Typed out a quick question about churn and it pulled a clean chart in seconds, genuinely impressed.

Connected my Postgres database and asked it to chart weekly active users by plan tier, got a clean graph in seconds without writing a single query. The natural language piece actually understands context when I rephrase, which caught me off guard.

Connected my Postgres database in under a minute and asking "show me weekly signups by source" just worked. Honestly shocked how natural the chart generation feels compared to dragging fields around in other BI tools.

Connected a postgres db and asked it to show weekly active users segmented by plan tier. The chart it generated was accurate and the breakdown matched what I get in metabase. The natural language editing is surprisingly responsive, it understood when I asked to filter out internal users without me restating the whole query.

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