Exploring Streamlit, Microsoft Power BI & Visivo

Streamlit Vs. Microsoft Power BI Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Streamlit, Microsoft Power BI, 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.

FeatureStreamlitMicrosoft Power BIVisivo
Deployment ModelOpen-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterpriseDesktop + Cloud Service (PowerBI.com), on-prem Report ServerOpen-source, Cloud Service, Self-hosted
PricingOpen-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hostingFree desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.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
StreamlitOpen-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterpriseOpen-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting$
Microsoft Power BIDesktop + Cloud Service (PowerBI.com), on-prem Report ServerFree desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.$$$
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.

Streamlit

Data scientistsPython developersML engineers

Microsoft Power BI

Business analystsExcel power usersenterprise BI teamsBusiness analysts

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.

Streamlit

Microsoft Power BI

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.

Streamlit

Python data science librariesSQL databasesSnowflake native integration

Microsoft Power BI

100+ connectors (SQL DBs, Spark, Snowflake, Excel, Salesforce, etc.)Azure ML and Python/R integrationPower BI Gateway for custom integrations

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
Streamlit
Microsoft Power BI✔️
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.

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.

Microsoft Power BI

Rich library of visuals (bar, line, maps, etc.) plus custom visuals marketplace. Highly customizable formatting. Dashboard-style layouts with interactive tiles. Advanced calculations via DAX formula language.

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.

Streamlit

+ Super easy and fast to turn a Python script into a shareable web app. Perfect for quickly prototyping data apps and internal tools.
− Not aimed at non-coders – lack of GUI means business users won't build in it. No built-in multi-user management or security layers (rely on external auth if needed).

Microsoft Power BI

+ Tight integration with Microsoft ecosystem (Excel, Azure). Easy to start for Excel users. AI features like Natural Language Q&A and Quick Insights built-in.
− Desktop Windows-only; complex on very large datasets without Premium. DAX formulas have steep learning curve for some.

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.

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.

Microsoft Power BI

DB Access: Import mode stores data in in-memory caches (no DB needed at view time); DirectQuery mode requires DB connection for each view. Virtualization: DirectQuery and live connect act as virtualization (query on demand). Push: Supports push data via streaming API for real-time dashboards. Other: Robust security with Azure AD; row-level security definable in reports; data encryption on cloud.

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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