Exploring Looker (Google), Plotly Dash & Visivo
Looker (Google) vs. Plotly Dash vs. Visivo
Compare key features, capabilities, and differentiators between Looker (Google), Plotly Dash, 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 | Looker (Google) | Plotly Dash | Visivo |
---|---|---|---|
Deployment Model | Cloud-hosted (Google Cloud) | Self-hosted (open-source) or Plotly Enterprise Server | Open-source, Cloud Service, Self-hosted |
Pricing | Commercial (Proprietary); enterprise pricing (no free tier) | Open-source (MIT); Enterprise plans for 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.
Looker (Google)
Plotly Dash
Visivo
Ease of Development & Deployment
Development experience directly impacts team productivity and time-to-value.
Looker (Google)
Plotly Dash
Visivo
Key Integrations & Ecosystem
A robust ecosystem of integrations is essential for modern BI tools.
Looker (Google)
Plotly Dash
Visivo
Visualization Capabilities
The ability to create compelling visualizations is key to data storytelling.
Looker (Google)
Robust web dashboards and exploratory interface. Good selection of chart types; custom visualizations via plugins or custom code. Highly customizable via LookML for data logic, but visual formatting is UI-driven (some limitations vs. Tableau).
Plotly Dash
Fully custom UI with code; any plotly or HTML component; highly flexible but code-driven
Visivo
Highly custom UI with easy defaults
Detailed Differentiators
Each platform's unique strengths and limitations.
Looker (Google)
Plotly Dash
Visivo
Security & Architecture
Critical considerations for enterprise deployments.
Looker (Google)
DB Access: Yes (direct read queries to DB with cached results). Virtualization: No internal engine – relies on source DB ('in-database' analytics). Push: No, pull-based queries (though persistent derived tables can be pushed into DB). Other: Fine-grained RBAC; row-level security; SSO/SAML support.
Plotly Dash
Requires direct DB/API access in code (no built-in data layer); no built-in virtualization or push. App pulls data as coded; security handled by app deployment (auth, etc. configurable)
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.
Ready to Experience Modern BI?
Try Visivo today and see how it transforms your data analytics workflow.
$ curl -fsSL https://visivo.sh | bash