Exploring Deepnote, Apache Superset & Visivo

Deepnote vs. Apache Superset vs. Visivo

Compare key features, capabilities, and differentiators between Deepnote, Apache Superset, 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	Deepnote	Apache Superset	Visivo
Deployment Model	Cloud (browser-based), Enterprise deployment, Private cloud	Self-host (Apache OSS), Preset Cloud (managed), Docker deployment	Open-source, Cloud Service, Self-hosted
Pricing	Free tier (limited projects); paid for premium features. Closed-source.	Open-source (Apache 2.0); Preset Cloud offers paid hosting/support	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.

Deepnote

Data science teamsEducatorsAnalysts collaborating on notebooks

Apache Superset

Data analystsSQL-savvy business usersData engineers

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Deepnote

4/5

Apache Superset

3/5

Visivo

5/5

Key Integrations & Ecosystem

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

Deepnote

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

Apache Superset

SQL databases via SQLAlchemyAuthentication systems (OAuth, LDAP)dbt outputs as data sources

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

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

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).

Apache Superset

Rich set of visualizations (bar, line, time-series, big number, etc.) via built-in plugins. Dashboards support filters and cross-highlighting. Customization is decent (colors, chart options) but not as polished as Tableau. Can create custom viz plugins with React/D3 if needed.

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform's unique strengths and limitations.

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.

Apache Superset

Open-source BI with no vendor lock-in. Large community and improving UI. Suitable for embedding into internal tools.

Setup and maintenance require engineering effort (Docker, config). UI can be less intuitive for non-technical users; SQL knowledge often needed for custom queries.

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.

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.

Apache Superset

DB Access: Yes, connects directly to databases with provided creds (queries run in DB). Virtualization: No internal data storage beyond caches – queries are delegated to sources. Push: No, data is pulled via queries on demand or scheduled caching. Other: Supports row-level security filters and role-based access to datasets/dashboards. Uses your DB's security for data access (you supply read-only creds).

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

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