Exploring Redash, Deepnote & Visivo

Redash Vs. Deepnote Vs. Visivo

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

FeatureRedashDeepnoteVisivo
Deployment ModelSelf-host (open-source), Docker deployment, Community cloud forksCloud (browser-based), Enterprise deployment, Private cloudOpen-source, Cloud Service, Self-hosted
PricingOpen-source (BSD 2-Clause); acquired by Databricks, maintained community version.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
RedashSelf-host (open-source), Docker deployment, Community cloud forksOpen-source (BSD 2-Clause); acquired by Databricks, maintained community version.$
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.

Redash

SQL analystsData engineersTechnical teams needing quick dashboards

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.

Redash

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.

Redash

SQL and NoSQL databasesAPI-based data sourcesSimple query runner architecture

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
Redash
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.

Redash

Very basic visualizations: each query can be visualized as a table, chart (line, bar, pie, scatter) or pivot. Limited formatting options. Dashboards are grids of query results visualizations and text. Suited for lightweight reporting.

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.

Redash

+ Light footprint, easy to deploy. Great for engineers to quickly share SQL results with team (share link to dashboard).
− Minimal feature set by modern standards: no semantic layer, weak visualization variety, and no fine-grained permissions (all users can see all queries by default in OSS). The project has slowed development (Databricks shifted focus).

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.

Redash

DB Access: Yes, stores DB credentials and queries the source directly for each refresh. Virtualization: No – it's a thin layer over the DB. Push: No, only pull (with caching of recent results). Other: Basic user roles; can embed visualizations via public URLs (security relies on random tokens). Lacks advanced security features like row-level controls.

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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