Exploring Plotly Dash, Sisense & Visivo
Plotly Dash Vs. Sisense Vs. Visivo
In this article, we'll compare the key features, capabilities, and differentiators between Plotly Dash, Sisense, 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.
| Feature | Plotly Dash | Sisense | Visivo |
|---|---|---|---|
| Deployment Model | Self-hosted (open-source) or Plotly Enterprise Server | Windows/Linux on-prem, Sisense Cloud (managed), Private cloud | Open-source, Cloud Service, Self-hosted |
| Pricing | Open-source (MIT); Enterprise plans for support | Commercial (Proprietary). Pricing by seat and consumption. | Open source (GPL-3.0) |
| Cost | $ | $$$$$ | $ |
| Git Integration | ✔️ | ❌ | ✔️ |
| CI/CD & Testing | ❌ | ❌ | ✔️ |
| Real-time | ❌ | ❌ | ❌ |
| AI | ❌ | ❌ | ✔️ |
| Visual to Code | ❌ | ❌ | ✔️ |
| DAG-Based | ❌ | ❌ | ✔️ |
Deployment & Pricing
Understanding the deployment options and pricing structure is crucial for making an informed decision. Here's how each platform handles deployment and what you can expect in terms of costs.
| Tool | Deployment Model | Pricing | Cost |
|---|---|---|---|
| Plotly Dash | Self-hosted (open-source) or Plotly Enterprise Server | Open-source (MIT); Enterprise plans for support | $ |
| Sisense | Windows/Linux on-prem, Sisense Cloud (managed), Private cloud | Commercial (Proprietary). Pricing by seat and consumption. | $$$$$ |
| Visivo | Open-source, Cloud Service, Self-hosted | Open 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.
Plotly Dash
Sisense
Visivo
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.
Plotly Dash
Sisense
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.
Plotly Dash
Sisense
Visivo
AI & Advanced Features
Artificial intelligence is transforming how we interact with data. Compare the AI capabilities and advanced features offered by each platform.
| Tool | AI Features |
|---|---|
| Plotly Dash | ❌ |
| Sisense | ❌ |
| 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.
Plotly Dash
Fully custom UI with code; any plotly or HTML component; highly flexible but code-driven
Sisense
Two flavors merged: traditional dashboard builder (drag-drop charts, with advanced widget for custom UI via scripting) and a notebook-style interface (from acquired Periscope Data) for SQL/Python. Visualizations include a wide range of widgets and the special Sisense BloX for custom coded infographic-like blocks. Highly customizable via JavaScript (for those inclined).
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.
Plotly Dash
Sisense
Visivo
Security & Architecture
Security and architecture are critical considerations for enterprise deployments. Here's how each platform handles data security and system architecture.
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)
Sisense
DB Access: Depending on setup – Live mode: Sisense queries your DB on the fly (needs access); Elasticube mode: data is extracted into Sisense's proprietary in-memory cube (so queries don't hit source DB at runtime). Virtualization: Allows combining multiple sources in one view via its cubes (not exactly virtualization, more like federation into a single cache). Push: In Elasticube mode, data is essentially pushed into Sisense's storage on a refresh schedule. Other: Robust security – single sign-on, row-level security in Elasticubes, and extensive admin controls.
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
