Both Definite and Superset deliver dashboards, but only Definite brings ingestion, storage, modeling, AI, and activation together so startups can launch analytics in one afternoon.
And you won't need to hire a data engineer to manage it.

BI/visualization layer with SQL Lab and plugins. Requires external ingestion, transformation, and storage.
Forever free for up to 5 users.
Unlimited dashboards, semantic layer, and collaborative SQL editor in one workspace. Ideal for teams that can manage the rest of the stack.
Try it free for 14 days.
Adds RBAC, extra workspaces, and scheduled reports. Embedded dashboards require $500/month for 50 viewer licenses, and advanced security needs Enterprise.
Enterprise SSO, API access, managed private cloud, and discounted embedded licensing require Preset's custom-priced Enterprise tier.

An entire data platform and AI insights across your entire business in under 30 minutes, no engineering required.
Access to Growth features for qualifying startups.
Comprehensive tools to enable your business to make data driven decisions.
Dashboards live in under 30 minutes. No ETL setup, no warehouse required.
Quick connection to a DB, but you must manage ingestion, transformation, and storage yourself.
Full stack: ingestion → modeling → AI → dashboards.
BI layer only. Needs Fivetran/dbt/Snowflake or equivalents to function at scale.
Built-in connectors to 500+ SaaS and GTM tools (Postgres, MySQL, HubSpot, Stripe, Salesforce, PostHog, etc.) with managed syncs.
No ingestion. Requires external pipelines.
Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching.
No storage layer. Queries run live against external DBs.
Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required.
SQL-based queries and dataset configs; no governance or version control.
Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports.
No built-in AI analyst; any NLQ/assistant requires custom development.
Slack and email alerts, live Google Sheet updates, Python automation
Manual scheduling; limited alerts; no data automation.
Fine-grained RBAC + metric-level permissions ensure KPI consistency.
Basic role tiers (Admin, Alpha, Gamma). No per-metric rules.
Full REST + GraphQL APIs for embedding, activation, and integrations.
Basic REST API for queries and dashboards.
Startups that need a complete analytics stack with zero engineering overhead.
Teams that already have a data warehouse and want only visualization.
| Category | Definite | Superset |
|---|---|---|
| Setup & Time-to-Value | Dashboards live in under 30 minutes. No ETL setup, no warehouse required. | Quick connection to a DB, but you must manage ingestion, transformation, and storage yourself. |
| Stack Coverage | Full stack: ingestion → modeling → AI → dashboards. | BI layer only. Needs Fivetran/dbt/Snowflake or equivalents to function at scale. |
| Data Ingestion | Built-in connectors to 500+ SaaS and GTM tools (Postgres, MySQL, HubSpot, Stripe, Salesforce, PostHog, etc.) with managed syncs. | No ingestion. Requires external pipelines. |
| Storage & Query Engine | Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching. | No storage layer. Queries run live against external DBs. |
| Modeling & Metrics | Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required. | SQL-based queries and dataset configs; no governance or version control. |
| AI & Insights | Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports. | No built-in AI analyst; any NLQ/assistant requires custom development. |
| Automation & Alerts | Slack and email alerts, live Google Sheet updates, Python automation | Manual scheduling; limited alerts; no data automation. |
| Governance & Access | Fine-grained RBAC + metric-level permissions ensure KPI consistency. | Basic role tiers (Admin, Alpha, Gamma). No per-metric rules. |
| APIs & Extensibility | Full REST + GraphQL APIs for embedding, activation, and integrations. | Basic REST API for queries and dashboards. |
| Ideal For | Startups that need a complete analytics stack with zero engineering overhead. | Teams that already have a data warehouse and want only visualization. |
Definite pulls in all your data, stores it in a fast, reliable data warehouse, applies consistent models, turns it into interactive dashboards, and lets you query it with AI — all in one managed platform. (Skip the three-month build, five different vendors, and full-time data engineer.)
Fi can work with any part of Definite’s Ecosystem to get you results faster.
Sync data in near‑realtime latency from over 500 sources. Need a custom connection? We’ll build it for you.





Send scheduled or triggered alerts, sync data to Google Sheets or your CRM, or export it as downloads or from the API.


If you want consistent and reliable analytics with helpful AI your whole business will use, choose Definite. If you want to build your own data stack and only need a BI front end with limited automation, Superset or Preset can fill that gap.
Superset puts your data in dashboards. Definite puts your data to work.
Common questions about Definite vs Superset