Power BI is built for Microsoft enterprises, not modern startups. Production use requires a full ETL and warehouse stack—costly and ops intensive. Definite is a cloud-native, AI-powered all-in-one platform with ingestion, modeling, visualization built in. It's fast, flexible, and free from Microsoft lock-in.
And you won't need to hire a data engineer to manage it.

Microsoft-centric BI tool requiring separate ETL and warehouse infrastructure for production use.
Local use only; no sharing capabilities.
Free desktop application for creating reports locally. Cannot share reports or dashboards. Limited to 1 GB datasets and requires Windows with no cloud collaboration features.
Production setup for 20 users with full stack.
Includes Power BI Pro ($280/mo for 20 users), plus ETL and warehouse ($400-1,000/mo). AI features need Premium Per User ($24/user/mo). Both sharer and viewer need Pro licenses.
Data warehouse infrastructure, ETL tools, dbt Cloud, AI features (require Premium), external sharing capabilities, mobile app access for external users, cross-tenant sharing (requires Azure AD setup).

Cloud-native, AI-native all-in-one data platform with transparent pricing and zero vendor lock-in.
Access to Growth features for qualifying startups.
Comprehensive tools to enable your business to make data driven decisions.
Under 30 minutes to first insights. All-in-one platform means no separate ETL or warehouse setup required.
Direct connect: 1 day (but brittle, doesn't scale). Production setup with warehouse: 1-2 weeks for ETL pipeline configuration, schema mapping, and warehouse setup.
Complete end-to-end platform: ingestion, warehousing, modeling, visualization, and AI all included. Replaces 3-4 tools (Fivetran + Snowflake + Looker) in one solution.
BI/visualization tool only. Requires separate ETL tools (Fivetran, Airbyte, Meltano) and data warehouse (BigQuery, Snowflake, Redshift) for production use.
Built-in ingestion with 500+ pre-built connectors. Automatically handles data extraction, transformation, and loading—no separate ETL tools needed.
Connects to data sources but doesn't ingest or store data. Requires separate ETL tools to extract and load data into a warehouse before Power BI can visualize it.
Managed data warehouse included. Built on open standards (DuckDB, Iceberg/Parquet) for performance and flexibility—no separate warehouse costs.
No built-in storage. Requires separate data warehouse like Microsoft SQL Server, Snowflake, BigQuery, or Redshift.
Built-in governed metrics layer using Cube.dev for consistent metrics across teams and dashboards.
Uses proprietary DAX language for modeling, which requires specialized knowledge.
AI-native platform with built-in AI analyst (Fi) from the start. Natural language queries work out of the box.
AI features are add-ons requiring Premium Per User or Premium Capacity. Natural language Q&A is limited and requires specific dataset structures.
Built-in automation and alerting. Schedule reports, send alerts to Slack/email. No additional setup required.
Basic alerting available in Pro. Advanced automation requires Power Automate (additional Microsoft 365 subscription) or custom development. Refresh schedules are manual and limited.
Built-in governed metrics ensure single source of truth. Transparent access controls. No per-user licensing for sharing—built-in collaboration.
Sharing requires both users to have Power BI Pro. Securing data needs complex DAX Row-Level Security.
RESTful APIs for embedded analytics, metrics API, and Python runner included in Business plan. MCP server included in Growth plan—open architecture with no vendor lock-in.
Power BI REST API available but requires Premium licensing for advanced features. Embedded analytics requires Power BI Embedded (additional $1-32/hour capacity costs).
Fast-growing startups and SMBs (20-200 employees) needing complete data platform without Microsoft lock-in. Teams wanting cloud-native, AI-native solution with transparent pricing and zero engineering overhead.
Large enterprises already invested in Microsoft ecosystem (Azure, Microsoft 365). Organizations with dedicated data teams who can manage ETL pipelines and warehouse infrastructure.
| Category | Definite | Microsoft Power BI |
|---|---|---|
| Setup & Time-to-Value | Under 30 minutes to first insights. All-in-one platform means no separate ETL or warehouse setup required. | Direct connect: 1 day (but brittle, doesn't scale). Production setup with warehouse: 1-2 weeks for ETL pipeline configuration, schema mapping, and warehouse setup. |
| Stack Coverage | Complete end-to-end platform: ingestion, warehousing, modeling, visualization, and AI all included. Replaces 3-4 tools (Fivetran + Snowflake + Looker) in one solution. | BI/visualization tool only. Requires separate ETL tools (Fivetran, Airbyte, Meltano) and data warehouse (BigQuery, Snowflake, Redshift) for production use. |
| Data Ingestion | Built-in ingestion with 500+ pre-built connectors. Automatically handles data extraction, transformation, and loading—no separate ETL tools needed. | Connects to data sources but doesn't ingest or store data. Requires separate ETL tools to extract and load data into a warehouse before Power BI can visualize it. |
| Storage & Query Engine | Managed data warehouse included. Built on open standards (DuckDB, Iceberg/Parquet) for performance and flexibility—no separate warehouse costs. | No built-in storage. Requires separate data warehouse like Microsoft SQL Server, Snowflake, BigQuery, or Redshift. |
| Modeling & Metrics | Built-in governed metrics layer using Cube.dev for consistent metrics across teams and dashboards. | Uses proprietary DAX language for modeling, which requires specialized knowledge. |
| AI & Insights | AI-native platform with built-in AI analyst (Fi) from the start. Natural language queries work out of the box. | AI features are add-ons requiring Premium Per User or Premium Capacity. Natural language Q&A is limited and requires specific dataset structures. |
| Automation & Alerts | Built-in automation and alerting. Schedule reports, send alerts to Slack/email. No additional setup required. | Basic alerting available in Pro. Advanced automation requires Power Automate (additional Microsoft 365 subscription) or custom development. Refresh schedules are manual and limited. |
| Governance & Access | Built-in governed metrics ensure single source of truth. Transparent access controls. No per-user licensing for sharing—built-in collaboration. | Sharing requires both users to have Power BI Pro. Securing data needs complex DAX Row-Level Security. |
| APIs & Extensibility | RESTful APIs for embedded analytics, metrics API, and Python runner included in Business plan. MCP server included in Growth plan—open architecture with no vendor lock-in. | Power BI REST API available but requires Premium licensing for advanced features. Embedded analytics requires Power BI Embedded (additional $1-32/hour capacity costs). |
| Ideal For | Fast-growing startups and SMBs (20-200 employees) needing complete data platform without Microsoft lock-in. Teams wanting cloud-native, AI-native solution with transparent pricing and zero engineering overhead. | Large enterprises already invested in Microsoft ecosystem (Azure, Microsoft 365). Organizations with dedicated data teams who can manage ETL pipelines and warehouse 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.


Power BI gives you a Microsoft-centric BI tool that requires a full data stack (ETL + warehouse) for production, adding $500-1,000/month to per-user licensing costs. AI is an add-on feature, not built-in. Definite gives you a cloud-native, AI-native, all-in-one data platform with transparent pricing (~$1,000/month all-inclusive), zero Microsoft lock-in, and zero engineering required.
Power BI gives you dashboards—but you manage the stack and the licenses. Definite gives you a complete, all-in-one data platform with built-in AI and zero engineering headaches.
Common questions about Definite vs Microsoft Power BI