Exploring ThoughtSpot, Deepnote & Visivo

ThoughtSpot Vs. Deepnote Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between ThoughtSpot, Deepnote, 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.

FeatureThoughtSpotDeepnoteVisivo
Deployment ModelCloud (SaaS), On-prem appliance, Private cloudCloud (browser-based), Enterprise deployment, Private cloudOpen-source, Cloud Service, Self-hosted
PricingCommercial (Proprietary); enterprise pricing (by user and/or data volume)Free tier (limited projects); paid for premium features. Closed-source.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
ThoughtSpotCloud (SaaS), On-prem appliance, Private cloudCommercial (Proprietary); enterprise pricing (by user and/or data volume)$$$$$
DeepnoteCloud (browser-based), Enterprise deployment, Private cloudFree tier (limited projects); paid for premium features. Closed-source.$$$
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.

ThoughtSpot

Business users (especially C-suite)Data teams for scalable analyticsSearch-driven analytics users

Deepnote

Data science teamsEducatorsAnalysts collaborating on notebooks

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.

ThoughtSpot

Deepnote

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.

ThoughtSpot

Cloud data warehousesdbt metadata syncEmbedding API for apps

Deepnote

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

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
ThoughtSpot
Deepnote
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.

ThoughtSpot

Search-driven analytics UI: users type questions in natural language and ThoughtSpot generates charts/tables as answers. Dashboards (pinboards) can be created from these answers. Visualizations are generally standard (bar, line, scatter, etc.) and auto-chosen by the engine (with ability to change chart type). Emphasis on simplicity – limited custom formatting beyond basic styling.

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

ThoughtSpot

+ Natural language search interface – Googling your data. Extremely scalable architecture (built to handle billions of rows). Strong AI analytics capabilities (SpotIQ automatically finds anomalies/patterns).
− Requires well-modeled data and user training to ask the right questions. Expensive at scale. Limited chart customization; not meant for pixel-perfect reports.

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

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

ThoughtSpot

DB Access: If using live query (Embrace), it requires direct read access to the DB. If using imported data, queries hit the in-memory engine (no external DB access needed at query time). Virtualization: Yes – Embrace is essentially virtualization (no data copy, live query on external DB). Push: With imported mode, data is pushed into TS's storage from source on a schedule. Other: Robust security – row and column-level security, user and group permissions, and audit logs. Supports SSO and OAuth.

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 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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How can I help? This connects to our slack so I'll respond real quickly 😄
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