Exploring Looker Studio, Streamlit & Visivo
Looker Studio Vs. Streamlit Vs. Visivo
In this article, we'll compare the key features, capabilities, and differentiators between Looker Studio, Streamlit, 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 | Looker Studio | Streamlit | Visivo |
|---|---|---|---|
| Deployment Model | Cloud (Google Cloud), Enterprise deployment, Private cloud | Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterprise | Open-source, Cloud Service, Self-hosted |
| Pricing | Free to use (with Google account); Pro version for enterprise (Looker Studio Pro) introduced with SLAs. | Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting | 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 |
|---|---|---|---|
| Looker Studio | Cloud (Google Cloud), Enterprise deployment, Private cloud | Free to use (with Google account); Pro version for enterprise (Looker Studio Pro) introduced with SLAs. | $ |
| Streamlit | Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterprise | Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting | $ |
| 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.
Looker Studio
Streamlit
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.
Looker Studio
Streamlit
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.
Looker Studio
Streamlit
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 |
|---|---|
| Looker Studio | ❌ |
| Streamlit | ❌ |
| 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.
Looker Studio
Drag-and-drop report editor. Offers charts like time series, bar, geo maps, tables. Customization is decent (colors, labels), though not as fine-grained as Tableau. Supports community visualizations (bring custom JS charts). Layout is canvas-style – good for dashboards and infographics.
Streamlit
Not a traditional BI dashboard tool – rather, a Python app framework. You write Python to output charts, tables, and UI widgets. Highly flexible (use any Python viz library like Altair, Plotly, etc.), but all customization is via code.
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.
Looker Studio
Streamlit
Visivo
Security & Architecture
Security and architecture are critical considerations for enterprise deployments. Here's how each platform handles data security and system architecture.
Looker Studio
DB Access: Yes, live connects to sources using provided credentials (or OAuth tokens). Option to cache query results in Google's cache for performance. Virtualization: Data remains in source or cache – Data Studio doesn't store data persistently (except cached). Push: No, it pulls data when rendering charts. Other: Uses Google account auth for access; you can manage view/edit permissions on reports. Lacks fine security on data level (you'd need separate reports or filters per audience).
Streamlit
DB Access: Yes, if app connects to a DB, it uses direct credentials (no abstraction). Virtualization: No, Streamlit just runs code – any virtualization must be coded. Push: No – app pulls data or receives via API. Other: Security depends on deployment (can use authentication proxies or Snowflake's SSO when integrated). No built-in row-level security – must code filters per user if needed.
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
