Exploring Hex, Deepnote & Visivo

Hex vs. Deepnote vs. Visivo

Compare key features, capabilities, and differentiators between Hex, Deepnote, Visivo. This comprehensive analysis will help you make an informed decision for your data visualization needs.

Quick Comparison

Key features and capabilities at a glance

Feature	Hex	Deepnote	Visivo
Deployment Model	Cloud (SaaS), Private cloud, Enterprise VPC	Cloud (browser-based), Enterprise deployment, Private cloud	Open-source, Cloud Service, Self-hosted
Pricing	SaaS subscription (free tier with limited projects; paid for teams). Closed-source.	Free tier (limited projects); paid for premium features. Closed-source.	Open source (GPL-3.0)
Cost	$$$	$$$	$
Git Integration
CI/CD & Testing
Real-time
AI Features
Visual to Code
DAG-Based

Target Users & Use-Cases

Each BI tool is designed with specific user personas in mind.

Hex

Data scientistsAnalytics engineersData teams collaborating on notebooks

Deepnote

Data science teamsEducatorsAnalysts collaborating on notebooks

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

Development experience directly impacts team productivity and time-to-value.

Hex

4/5

Deepnote

4/5

Visivo

5/5

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools.

Hex

Cloud data warehouses (Snowflake, BigQuery, etc.)dbt models and Git reposPython/SQL data sources

Deepnote

SQL databases (PostgreSQL, BigQuery, etc.)Cloud storage (Google Drive, S3)dbt workflow integration

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

The ability to create compelling visualizations is key to data storytelling.

Hex

Hybrid UI: notebook-style cells that can contain Pandas dataframes, SQL, or Python code, and separate 'app' view for interactive visual output. Visualizations can be created by pointing and clicking on a dataframe result (common chart types), or fully custom via Python libraries. Can add input widgets for interactivity.

Deepnote

Jupyter-like notebooks with collaborative editing. Supports interactive visualizations by writing code (Python, R, SQL blocks). Has a GUI for basic charts: you can switch a SQL cell's results into a chart view (bar/line) quickly. Can arrange outputs into a dashboard layout for sharing. Custom viz requires coding (e.g., Plotly, seaborn).

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform's unique strengths and limitations.

Hex

Mix of code and no-code: data pros can write Python or SQL, then non-tech stakeholders can use the polished published app with interactive controls. Strong collaboration (multiple users can edit same notebook).

Geared towards data team usage – not a pure drag-and-drop BI for end users. To fully utilize, one needs coding ability.

Deepnote

Real-time collaboration on notebooks (like Google Docs for Jupyter) – multiple users can work simultaneously. Great for mixed code-and-text narratives and then turning into lightweight dashboards for stakeholders.

Still requires coding for most analysis; not a drop-in replacement for tools like Tableau for a pure business user.

Visivo

BI-as-code approach enables version control, collaboration, and CI/CD workflows. DAG-based architecture provides powerful data transformation capabilities and dependency management. Seamless visual-to-code workflow allows both technical and non-technical users to build dashboards effectively.

Requires understanding of data concepts; not a pure drag-and-drop tool like Tableau. Initial setup requires technical knowledge for optimal configuration.

Security & Architecture

Critical considerations for enterprise deployments.

Hex

DB Access: Yes, connects directly using provided credentials to sources. Virtualization: No separate semantic layer; queries are run in notebooks. Push: No, though can output results to external sinks via code. Other: Offers granular access controls on projects (who can view/edit). Supports OAuth for data sources so credentials aren't exposed.

Deepnote

DB Access: Yes, uses direct credentials to query databases in SQL cells. Virtualization: No separate layer – it's a client executing queries or code. Push: No (though you could push data via Python in a notebook to an external system). Other: Deepnote runs in cloud with project-specific isolation; offers Google SSO. Not designed for role-based consumption – notebooks can be shared via link with view/edit rights.

Visivo

No db access required. Very strong security features due to the DAG-based access controls and the push based deployment model.

Why Visivo Stands Out

While each platform has its strengths, Visivo offers unique advantages for modern data teams.

DAG-Based Architecture for complex data transformations

Visual to Human-readable Code conversion

Multiple development approaches for all skill levels

AI-Powered dashboard creation

Full Git integration and version control

Open-source with enterprise features

Ready to Experience Modern BI?

Try Visivo today and see how it transforms your data analytics workflow.

$ curl -fsSL https://visivo.sh | bash

Start Free Trial Request a Demo


Email	Mute	End Chat