Reviewers praise Basedash for speeding up analytics work, making data access conversational, and delivering responsive support. Teams report daily use and say they feel more in control of their data, with strong UI/UX and a helpful free plan. Several highlight fast, reliable AI-driven reporting with low latency. Some note high pricing and request broader integrations (e.g., Firestore) and proactive insight suggestions. Overall sentiment is highly positive: it’s adopted as a primary BI tool, improves dashboard creation efficiency, and keeps improving with frequent, impactful updates.
Basedash: AI data analyst
Once a dashboard has been generated through MCP, does it automatically stay in sync with the underlying database? How do you handle schema changes?
Basedash: AI data analyst
@tmullier yes it does! Every chart on the dashboard runs SQL against your database, so if you check back in a week or a month it'll always be up-to-date.
If a schema change breaks a query we show a button that gets the AI to fix it for you in one click.
@maxmusing Thanks Max! The one-click SQL repair is a clever approach. But what about schema changes that don't break the query, yet silently change the meaning of the data? For example, if a revenue field changes its definition, the dashboard might still work while showing misleading numbers. Is there any way to detect that kind of issue?