Tableau makes great charts but stops at visualization—no ingestion, storage, or governed metrics included. Per-user and AI add-on costs add up quickly. Definite is a complete data platform: ingestion, storage, modeling, visualization, and AI all in one—no engineering required.
And you won't need to hire a data engineer to manage it.

Visualization-only BI tool requiring external data warehouse and ETL infrastructure.
Full platform trial with sample data.
14-day free trial with access to Tableau Desktop, Tableau Prep Builder, and Tableau Cloud Creator license. Includes sample data and tutorials. After trial, pricing starts at $15/user/month for Viewers, $42/user/month for Explorers, or $75/user/month for Creators—all billed annually.
Production setup for 20 viewers with full stack.
Includes Viewer licenses ($300/mo for 20 users), plus ETL tools ($200-500/mo) and data warehouse ($200-500/mo). AI features (Tableau+, Einstein Copilot) require additional licensing. Creator and Explorer licenses ($42-75/user/month) needed for building dashboards.
Data warehouse infrastructure, ETL tools (Fivetran, dbt, etc.), AI features (Tableau+, Einstein Copilot require additional licensing), data ingestion and storage, governed semantic layer for metric consistency.

Complete data platform with ingestion, storage, modeling, AI, and dashboards—all in one.
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 database, but you must manage ingestion, transformation, and storage yourself. Production setup with ETL and warehouse takes 1-2 weeks.
Full stack: ingestion → modeling → AI → dashboards.
Visualization-only BI layer. 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.
99+ connectors to connect to existing data sources, but no ingestion or storage. Requires external ETL pipelines (Fivetran, Airbyte, etc.) to bring data into a warehouse first.
Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching.
No storage layer. Queries run live against external databases or uses extracts (.hyper files) for performance—requires managing external data infrastructure.
Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required.
Multi-table relationships and calculated fields for modeling, but no centralized governance. Calculated fields are workbook-specific, leading to inconsistent metrics across dashboards. Requires knowledge of Tableau's formula language and LOD expressions.
Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports.
AI features like Einstein Copilot and Tableau+ available but require additional licensing beyond base per-user costs. Natural language features have limitations and require specific dataset structures.
Slack and email alerts, live Google Sheet updates, Python automation.
Scheduled dashboard refreshes and email subscriptions available, but limited automation. Requires Tableau Server/Cloud for advanced alerting features.
Fine-grained RBAC + metric-level permissions ensure KPI consistency.
Role-based access control (Creator, Explorer, Viewer) with permissions managed per workbook. No centralized metric governance—same metrics can be defined differently across workbooks.
Full REST + GraphQL APIs for embedding, activation, and integrations.
Tableau REST API and JavaScript API available for embedding and automation. Advanced features may require Tableau Server/Cloud Enterprise licensing.
Startups that need a complete analytics stack with zero engineering overhead.
Large enterprises with existing data warehouses and dedicated data teams who want powerful visualization capabilities and can manage the underlying infrastructure.
| Category | Definite | Tableau |
|---|---|---|
| Setup & Time-to-Value | Dashboards live in under 30 minutes. No ETL setup, no warehouse required. | Quick connection to a database, but you must manage ingestion, transformation, and storage yourself. Production setup with ETL and warehouse takes 1-2 weeks. |
| Stack Coverage | Full stack: ingestion → modeling → AI → dashboards. | Visualization-only BI layer. 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. | 99+ connectors to connect to existing data sources, but no ingestion or storage. Requires external ETL pipelines (Fivetran, Airbyte, etc.) to bring data into a warehouse first. |
| Storage & Query Engine | Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching. | No storage layer. Queries run live against external databases or uses extracts (.hyper files) for performance—requires managing external data infrastructure. |
| Modeling & Metrics | Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required. | Multi-table relationships and calculated fields for modeling, but no centralized governance. Calculated fields are workbook-specific, leading to inconsistent metrics across dashboards. Requires knowledge of Tableau's formula language and LOD expressions. |
| AI & Insights | Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports. | AI features like Einstein Copilot and Tableau+ available but require additional licensing beyond base per-user costs. Natural language features have limitations and require specific dataset structures. |
| Automation & Alerts | Slack and email alerts, live Google Sheet updates, Python automation. | Scheduled dashboard refreshes and email subscriptions available, but limited automation. Requires Tableau Server/Cloud for advanced alerting features. |
| Governance & Access | Fine-grained RBAC + metric-level permissions ensure KPI consistency. | Role-based access control (Creator, Explorer, Viewer) with permissions managed per workbook. No centralized metric governance—same metrics can be defined differently across workbooks. |
| APIs & Extensibility | Full REST + GraphQL APIs for embedding, activation, and integrations. | Tableau REST API and JavaScript API available for embedding and automation. Advanced features may require Tableau Server/Cloud Enterprise licensing. |
| Ideal For | Startups that need a complete analytics stack with zero engineering overhead. | Large enterprises with existing data warehouses and dedicated data teams who want powerful visualization capabilities and can manage the underlying infrastructure. |
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.


Tableau gives you beautiful visualizations, but you manage the entire data stack underneath—ETL, warehouse, and per-viewer licensing that adds up fast. AI costs extra. Definite gives you a complete, all-in-one data platform with built-in AI, transparent pricing, and zero engineering headaches.
Tableau gives you dashboards—but you build the stack and pay per viewer. Definite gives you a complete data platform with built-in AI and transparent pricing.
Common questions about Definite vs Tableau