Exploring Deepnote, Tableau (Salesforce) & Visivo

Deepnote Vs. Tableau (Salesforce) Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Deepnote, Tableau (Salesforce), Visivo. This comprehensive comparison will help you make an informed decision about which platform best suits your data visualization and analytics needs.

Quick Comparison

A high-level overview of key features and capabilities across these BI tools. This comparison helps you quickly identify which platform best matches your needs.

FeatureDeepnoteTableau (Salesforce)Visivo
Deployment ModelCloud (browser-based), Enterprise deployment, Private cloudDesktop + Tableau Server, Desktop + (on-prem) Tableau Server, Desktop + Tableau Cloud (SaaS)Open-source, Cloud Service, Self-hosted
PricingFree tier (limited projects); paid for premium features. Closed-source.Commercial (Proprietary); ~$70/user/mo for Creator. Public edition free (cloud, limited)Open source (GPL-3.0)
Cost$$$$$$$$$
Git Integration✔️
CI/CD & Testing✔️
Real-time
AI✔️
Visual to Code✔️
DAG-Based✔️

Deployment & Pricing

Understanding the deployment options and pricing structure is crucial for making an informed decision. Here's how each platform handles deployment and what you can expect in terms of costs.

ToolDeployment ModelPricingCost
DeepnoteCloud (browser-based), Enterprise deployment, Private cloudFree tier (limited projects); paid for premium features. Closed-source.$$$
Tableau (Salesforce)Desktop + Tableau Server, Desktop + (on-prem) Tableau Server, Desktop + Tableau Cloud (SaaS)Commercial (Proprietary); ~$70/user/mo for Creator. Public edition free (cloud, limited)$$$$$
VisivoOpen-source, Cloud Service, Self-hostedOpen source (GPL-3.0)$

Target Users & Use-Cases

Each BI tool is designed with specific user personas in mind. Understanding the target audience helps ensure you choose a platform that aligns with your team's skills and needs.

Deepnote

Data science teamsEducatorsAnalysts collaborating on notebooks

Tableau (Salesforce)

Enterprise OrganizationsData analysts & business users (self-service BI)

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

The development experience can significantly impact your team's productivity. This section compares how easy it is to build, deploy, and maintain dashboards in each platform.

Deepnote

Tableau (Salesforce)

Visivo

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools. Here's how each platform connects with other tools in your data stack.

Deepnote

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

Tableau (Salesforce)

Major SQL and cloud data warehousesPython/R via TabPydbt through published data sources

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

AI & Advanced Features

Artificial intelligence is transforming how we interact with data. Compare the AI capabilities and advanced features offered by each platform.

ToolAI Features
Deepnote
Tableau (Salesforce)
Visivo✔️

Visualization Capabilities

The ability to create compelling and insightful visualizations is a key differentiator between BI tools. Here's how each platform handles data visualization.

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).

Tableau (Salesforce)

Best-in-class drag-and-drop visualization. Wide variety of chart types and mapping; highly refined visual customization. Dashboards with interactive actions. Limited custom theming without extensions, but very flexible analytically.

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform has its own strengths and weaknesses. Here's a detailed breakdown of what sets each tool apart, including both advantages 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.

Tableau (Salesforce)

+ + Renowned for its ease of use and visual analytics power – users can explore data fluidly. Strong community and support. AI: 'Ask Data' (NL queries) and 'Explain Data' insights in newer versions.
− Licensing cost; less programmable (proprietary formulas, no Git). Large deployments require governance to avoid 'spreadmarts.'

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

Security and architecture are critical considerations for enterprise deployments. Here's how each platform handles data security and system architecture.

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.

Tableau (Salesforce)

DB Access: Optional – can import data into Tableau's Hyper engine or query live. Virtualization: Live query leaves data at source (virtualized access). Push: Extracts are pull-based (scheduled). Other: Row-level security via data source filters; fine-grained user permissions on Server; supports SAML/OAuth for auth.

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 that make it an excellent choice for modern data teams.

  • DAG-Based Architecture: Enables complex data transformations and dependencies
  • Visual to Human-readable Code: Seamlessly switch between visual and code-based development
  • Ease of Development: Multiple approaches to build for both technical and non-technical users
  • AI-Powered Development: Leverage AI to accelerate dashboard creation
  • Git Integration: Full version control and collaboration capabilities

Ready to experience the power of modern BI? Try Visivo today and see how it compares to other tools in your stack.

$ curl -fsSL https://visivo.sh | bash
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Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
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