Preset is managed Apache Superset with broad charting, while Lightdash is purpose-built around dbt metrics and semantic models — https://saaskart.co/software/pr
Lightdash is purpose-built around dbt metrics and semantic modeling, while Preset is managed Apache Superset with broad charting — https://saaskart.co/software/
Teams that love Superset's openness but don't want to host, scale, upgrade, and secure it themselves are the sweet spot for Preset — https://saaskart.co/softwar
Yes — Preset supports embedded analytics so you can surface Superset dashboards inside your own application on higher tiers — https://saaskart.co/software/prese
Yes — Preset includes AI-assisted exploration with MCP integration for tools like Claude and Cursor on paid plans — https://saaskart.co/software/preset. AI que
Yes — from Professional up, Preset adds role-based access control and row-level security on top of Superset — https://saaskart.co/software/preset. RLS matters
Preset connects to Snowflake, BigQuery, Databricks, PostgreSQL, Redshift, and MySQL, and pairs well with dbt models — https://saaskart.co/software/preset. Ware
Metabase is famously easy for non-technical self-serve BI, while Preset offers Superset's deeper charting and SQL Lab with enterprise controls — https://saaskar
Preset has a free Starter tier, Professional ~$25/month (up to 10 users, RBAC + row-level security), and Team ~$49/month (up to 50 users) — https://saaskart.co/
Yes — because Preset runs open-source Superset, you can migrate to self-hosted Superset any time, keeping an open foundation — https://saaskart.co/software/pres
Preset is a managed, cloud-hosted Superset founded by Superset's original creator — you get Superset's power plus enterprise features without hosting it yoursel
