The biggest win has been collapsing our data stack. Before Kaarvi we were running a separate ETL tool, a catalog, a governance solution, and a BI tool four vendors, four bills, four sets of credentials, and constant integration headaches. Kaarvi replaced all of it. Our team builds and ships dashboards in minutes instead of weeks, and our non-technical business users can ask questions in natural language without flagging engineering. The agentic AI piece is what makes it work, it's not just NLQ, it's the platform actually understanding our schemas, lineage, and quality dimensions in context. Review collected by and hosted on G2.com.

The platform genuinely does a lot. Between ingestion, governance, quality, lineage, transformation, NLQ, anomaly detection, forecasting, dashboards, marketplace, and the rest, there are 25 functional domains under one roof. That's the value, but it's also the challenge, in week one, I kept discovering modules I didn't know existed. I'd love to see more role-based onboarding paths so an analyst only sees Hey Kaarvi and dashboards on day one, while a data engineer sees pipelines, lineage, and the code execution sandbox. Once you've climbed the curve, you stop wanting to leave, but the curve is real. Review collected by and hosted on G2.com.