Looker brings strong semantic modeling and polished dashboards, but startups feel enterprise pricing and a BI-only footprint tied to Google Cloud. Definite delivers governed metrics, AI insights, and 500+ connectors in one platform so you avoid stacking tools.
And you won't need to hire a data engineer to keep it running.

BI and semantic modeling layer integrated with Google Cloud, supporting governed metrics and embedded reporting.
30-day pilot via Google Cloud console.
Includes core functionality for evaluation with limited seats before paid activation.
Base bundle sold through Google Cloud sales.
Includes one production instance, 10 standard users, 2 developer users, and 1,000 monthly API calls; additional users billed separately.
Pipelines, storage, and long-term support require additional Google Cloud or third-party spend.

All-in-one analytics stack with governed metrics, AI, and 500+ connectors built for startup speed.
Access to Growth features for qualifying startups.
Comprehensive tools to enable your business to make data driven decisions.
Launch governed dashboards in under 30 minutes with prebuilt models and Fi guiding next steps.
Provision through Google Cloud, connect a warehouse, and author LookML before teams can self-serve.
Includes ingestion, storage, modeling, BI, and AI in one managed platform for every workspace.
Focuses on BI and semantic modeling, expecting separate tools for pipelines and warehousing.
Managed syncs for 500+ sources keep data flowing without manual pipeline maintenance.
Relies on external ETL services or BigQuery data transfers that you configure and monitor.
Runs a high-performance lakehouse or connects to yours without knobs to tune.
Queries your existing warehouse, usually BigQuery, so you size, tune, and fund that layer.
Semantic layer ships governed KPIs and lets analysts refine definitions without code-heavy upkeep.
LookML delivers powerful control but needs ongoing developer attention to keep models consistent.
Fi AI analyst answers questions in natural language on governed metrics instantly.
Gemini in Looker accelerates dashboard builds and LookML tasks but still leans on technical workflows.
Point-and-click scheduling pushes alerts to Slack, email, and Sheets with governed metrics baked in.
Requires configuring alerting per dashboard or through APIs, with deeper automation handled outside Looker.
Role-based controls, SOC 2, and semantic governance come standard for every workspace.
Governance is robust but tuned for complex enterprise org charts and requires admin oversight.
Expose governed data through REST, Python, and embeds without standing up additional services.
Comprehensive APIs power embedded experiences but assume you already invest in Google Cloud dev resources.
Startups and SMBs wanting an immediate, managed analytics stack without extra hires.
Scale-ups that can fund quote-based licensing and dedicate staff to LookML modeling, curation, and governance.
| Category | Definite | Looker |
|---|---|---|
| Setup & Time-to-Value | Launch governed dashboards in under 30 minutes with prebuilt models and Fi guiding next steps. | Provision through Google Cloud, connect a warehouse, and author LookML before teams can self-serve. |
| Stack Coverage | Includes ingestion, storage, modeling, BI, and AI in one managed platform for every workspace. | Focuses on BI and semantic modeling, expecting separate tools for pipelines and warehousing. |
| Data Ingestion | Managed syncs for 500+ sources keep data flowing without manual pipeline maintenance. | Relies on external ETL services or BigQuery data transfers that you configure and monitor. |
| Storage & Query Engine | Runs a high-performance lakehouse or connects to yours without knobs to tune. | Queries your existing warehouse, usually BigQuery, so you size, tune, and fund that layer. |
| Modeling & Metrics | Semantic layer ships governed KPIs and lets analysts refine definitions without code-heavy upkeep. | LookML delivers powerful control but needs ongoing developer attention to keep models consistent. |
| AI & Insights | Fi AI analyst answers questions in natural language on governed metrics instantly. | Gemini in Looker accelerates dashboard builds and LookML tasks but still leans on technical workflows. |
| Automation & Alerts | Point-and-click scheduling pushes alerts to Slack, email, and Sheets with governed metrics baked in. | Requires configuring alerting per dashboard or through APIs, with deeper automation handled outside Looker. |
| Governance & Access | Role-based controls, SOC 2, and semantic governance come standard for every workspace. | Governance is robust but tuned for complex enterprise org charts and requires admin oversight. |
| APIs & Extensibility | Expose governed data through REST, Python, and embeds without standing up additional services. | Comprehensive APIs power embedded experiences but assume you already invest in Google Cloud dev resources. |
| Ideal For | Startups and SMBs wanting an immediate, managed analytics stack without extra hires. | Scale-ups that can fund quote-based licensing and dedicate staff to LookML modeling, curation, and governance. |
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.


Looker remains a strong BI centerpiece, but startups pay enterprise rates while still stitching the rest of the stack. Definite delivers ingestion-to-AI in one place so teams move from questions to answers in minutes and spend budget on growth, not overhead.
Looker gives you premium BI at a premium price. Definite gives you the complete analytics stack.