Both Definite and Peliqan offer all-in-one data platforms, but only one delivers true self-service analytics with AI-powered insights and zero engineering overhead for fast-growing teams.
And you won't need to hire a data engineer to manage it.

Low-code data environment with built-in storage, visual transformations, API connectors, and optional Python steps.
Full platform trial; then choose a plan.
30-day trial with full platform access; no credit card required. After the trial, pricing starts at $525/month for the Starter plan, which includes essential features for data exploration and preparation. Note that data visualization requires a separate tool purchase.
For teams without data engineers exploring and preparing data.
Monthly billing at $525/month. Includes essential features for data exploration and preparing data for BI. Suitable for teams without data engineers. Includes 250+ connectors, built-in warehouse, and spreadsheet-like transformation interface. Data visualization requires an additional tool purchase on top of this price.
Advanced AI analyst, governed semantic layer, and millisecond query performance

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, no coding needed.
Quick setup with built-in warehouse, but spreadsheet-like transformation and Python scripting require technical knowledge and learning curve.
Full stack: ingestion → modeling → AI → dashboards with governed metrics and automation.
Incomplete platform with built-in warehouse, transformation, and reverse ETL, but lacks built-in visualization. Requires additional BI tool purchase for dashboards and reporting.
Built-in connectors to 500+ SaaS and GTM tools (Postgres, MySQL, HubSpot, Stripe, Salesforce, PostHog, etc.) with managed syncs.
One-click ELT from 250+ sources including databases, SaaS applications, and files with built-in warehouse or external integration.
Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching for sub-second queries.
Built-in data warehouse included, or option to use existing warehouses like Snowflake, BigQuery, SQL Server, or Redshift.
Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required.
Spreadsheet-like interface for transformation with SQL and low-code Python scripting, but no centralized governance layer.
Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports with natural language queries.
AI-powered query assistant helps write SQL queries, but lacks comprehensive AI analyst capabilities for automated insights.
Slack and email alerts, live Google Sheet updates, Python automation, and reverse ETL capabilities.
Reverse ETL, data synchronization, data apps, and AI agents for data activation beyond traditional BI.
Fine-grained RBAC + metric-level permissions ensure KPI consistency across the organization.
SOC 2 Type 2 and GDPR compliant with role-based access, but no centralized metric governance layer.
Full REST + GraphQL APIs for embedding, activation, and integrations with Python script support.
APIs for data apps, AI agents, and integrations, with low-code Python scripting for custom workflows.
Startups that need a complete analytics stack with zero engineering overhead and true self-service for non-technical users.
Teams that can dedicate technical staff to manage Python workflows, transformations, and custom activation logic.
| Category | Definite | Peliqan |
|---|---|---|
| Setup & Time-to-Value | Dashboards live in under 30 minutes. No ETL setup, no warehouse required, no coding needed. | Quick setup with built-in warehouse, but spreadsheet-like transformation and Python scripting require technical knowledge and learning curve. |
| Stack Coverage | Full stack: ingestion → modeling → AI → dashboards with governed metrics and automation. | Incomplete platform with built-in warehouse, transformation, and reverse ETL, but lacks built-in visualization. Requires additional BI tool purchase for dashboards and reporting. |
| Data Ingestion | Built-in connectors to 500+ SaaS and GTM tools (Postgres, MySQL, HubSpot, Stripe, Salesforce, PostHog, etc.) with managed syncs. | One-click ELT from 250+ sources including databases, SaaS applications, and files with built-in warehouse or external integration. |
| Storage & Query Engine | Embedded DuckDB + DuckLake lakehouse with columnar performance and local caching for sub-second queries. | Built-in data warehouse included, or option to use existing warehouses like Snowflake, BigQuery, SQL Server, or Redshift. |
| Modeling & Metrics | Governed semantic layer (Cube.js) that enforces consistent KPI definitions and transformations — no SQL required. | Spreadsheet-like interface for transformation with SQL and low-code Python scripting, but no centralized governance layer. |
| AI & Insights | Built-in AI Analyst (Fi) summarizes trends, finds anomalies, explains metrics, and automates reports with natural language queries. | AI-powered query assistant helps write SQL queries, but lacks comprehensive AI analyst capabilities for automated insights. |
| Automation & Alerts | Slack and email alerts, live Google Sheet updates, Python automation, and reverse ETL capabilities. | Reverse ETL, data synchronization, data apps, and AI agents for data activation beyond traditional BI. |
| Governance & Access | Fine-grained RBAC + metric-level permissions ensure KPI consistency across the organization. | SOC 2 Type 2 and GDPR compliant with role-based access, but no centralized metric governance layer. |
| APIs & Extensibility | Full REST + GraphQL APIs for embedding, activation, and integrations with Python script support. | APIs for data apps, AI agents, and integrations, with low-code Python scripting for custom workflows. |
| Ideal For | Startups that need a complete analytics stack with zero engineering overhead and true self-service for non-technical users. | Teams that can dedicate technical staff to manage Python workflows, transformations, and custom activation logic. |
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 that your whole business will use—without managing multiple tools or additional visualization purchases—choose Definite. If you need data activation workflows and are comfortable purchasing separate visualization tools on top of a $525/month base, Peliqan is a solid option.
Peliqan gives you an incomplete stack requiring additional visualization tools. Definite gives you a complete analytics platform with built-in dashboards and AI.
Common questions about Definite vs Peliqan