Exploring Deepnote, Preset & Visivo

Deepnote vs. Preset vs. Visivo

Compare key features, capabilities, and differentiators between Deepnote, Preset, 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	Preset	Visivo
Deployment Model	Cloud (browser-based), Enterprise deployment, Private cloud	Cloud (multi-tenant), Cloud (VPC), Managed service	Open-source, Cloud Service, Self-hosted
Pricing	Free tier (limited projects); paid for premium features. Closed-source.	Managed service (subscription per creator & usage). Underlying Superset is Apache-licensed.	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

Preset

Data teams wanting managed SupersetOrganizations without resources to self-hostEnterprise analytics teams

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Deepnote

4/5

Preset

4/5

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

Preset

Same database integrations as Supersetdbt Cloud for metadataOAuth connections to popular DBs

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).

Preset

Identical visualization capabilities to Apache Superset (Preset is built on Superset) – plus a nicer UI/UX and theme. Custom visualizations can be added via Preset's marketplace.

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.

Preset

Easiest way to use Superset – fully managed infrastructure and support from Superset experts. New features and custom connectors often available.

Still catching up to feature parity with mature BI tools in terms of collaboration (Git, fine-grained content permissions).

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.

Preset

DB Access: Yes (your databases' credentials are stored in Preset; it queries them directly). Virtualization: No, live queries on sources (with optional result caching). Push: No – you supply data to your DB, Preset pulls on viz. Other: Managed security – SSO integration, teams/roles setup in UI. Data stays in your cloud DB; Preset does not persist data (aside from cached query results).

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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