DuckDB gives you a powerful in-process engine, but stitching together connectors, storage, metrics, and dashboards takes time your startup doesn’t have. Definite wraps DuckDB in a fully managed stack so you keep the speed and open tech without the operational burden.
And you still benefit from DuckDB’s performance—Definite operates and scales it for you, no data engineer required.

Open-source in-process OLAP engine you embed and operate inside notebooks or applications.
MIT-licensed engine you install and run yourself.
Download the binary or library, wire it to your data, and handle storage, pipelines, and governance in your own stack. Community support only.
Hosted DuckDB with storage-based pricing.
Managed service layers cloud storage, collaboration, and compute over DuckDB. Pricing grows with data stored and features enabled, plus you still handle upstream pipelines.
Managed ingestion, governed metrics, AI analyst, or bundled BI still require extra tools.

Managed DuckDB-powered analytics platform for startups that want governed insights without running infrastructure.
Access to Growth features for qualifying startups.
Comprehensive tools to enable your business to make data driven decisions.
Connect sources and get governed dashboards in under 30 minutes—DuckDB, storage, and BI are already configured.
Stand up infrastructure, wire pipelines, and build reporting layers before stakeholders see a single chart.
All-in-one: ingestion, DuckDB lakehouse, Cube.dev metrics, visualization, AI, and activation in one workspace.
Just the SQL engine; you must assemble ETL, storage, transformation, BI, and activation around it.
500+ managed connectors with sync monitoring, retries, and scheduling built in.
Use separate tools or scripts to extract and load data before DuckDB can query it.
Managed Iceberg lakehouse paired with DuckDB delivers sub-second queries without tuning knobs.
Choose and operate object storage yourself, manage file layouts, and optimize DuckDB embedding for performance.
Governed semantic layer standardizes KPIs and transformations with versioned, auditable changes.
Define metrics in SQL across notebooks or custom apps; consistency relies on manual discipline.
Fi AI analyst translates natural language to governed queries and visuals instantly.
No native AI; teams build assistants on top or rely on manual SQL.
Built-in alerts, reverse ETL, and scheduled reports keep teams updated automatically.
Requires third-party workflow tools or custom code to monitor thresholds and notify teams.
Role-based access, audit trails, and sharing controls are built into the platform.
Security and governance must be engineered across multiple tools and repos.
Open APIs, embeds, and exports let you extend while staying managed.
Extensions focus on new file formats or functions; everything else demands your own services.
Startups wanting DuckDB performance with a turnkey analytics platform and minimal ops.
Teams with engineering resources to assemble and maintain a custom analytics environment.
| Category | Definite | DuckDB |
|---|---|---|
| Setup & Time-to-Value | Connect sources and get governed dashboards in under 30 minutes—DuckDB, storage, and BI are already configured. | Stand up infrastructure, wire pipelines, and build reporting layers before stakeholders see a single chart. |
| Stack Coverage | All-in-one: ingestion, DuckDB lakehouse, Cube.dev metrics, visualization, AI, and activation in one workspace. | Just the SQL engine; you must assemble ETL, storage, transformation, BI, and activation around it. |
| Data Ingestion | 500+ managed connectors with sync monitoring, retries, and scheduling built in. | Use separate tools or scripts to extract and load data before DuckDB can query it. |
| Storage & Query Engine | Managed Iceberg lakehouse paired with DuckDB delivers sub-second queries without tuning knobs. | Choose and operate object storage yourself, manage file layouts, and optimize DuckDB embedding for performance. |
| Modeling & Metrics | Governed semantic layer standardizes KPIs and transformations with versioned, auditable changes. | Define metrics in SQL across notebooks or custom apps; consistency relies on manual discipline. |
| AI & Insights | Fi AI analyst translates natural language to governed queries and visuals instantly. | No native AI; teams build assistants on top or rely on manual SQL. |
| Automation & Alerts | Built-in alerts, reverse ETL, and scheduled reports keep teams updated automatically. | Requires third-party workflow tools or custom code to monitor thresholds and notify teams. |
| Governance & Access | Role-based access, audit trails, and sharing controls are built into the platform. | Security and governance must be engineered across multiple tools and repos. |
| APIs & Extensibility | Open APIs, embeds, and exports let you extend while staying managed. | Extensions focus on new file formats or functions; everything else demands your own services. |
| Ideal For | Startups wanting DuckDB performance with a turnkey analytics platform and minimal ops. | Teams with engineering resources to assemble and maintain a custom analytics environment. |
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.


Keep the speed and openness of DuckDB without turning your team into data engineers. Definite delivers ingestion, storage, metrics, dashboards, and AI on top of DuckDB so startups launch governed analytics in days, not quarters.
DuckDB gives you an engine to operate. Definite gives you a managed DuckDB stack with everything around it.
Common questions about Definite vs DuckDB