Exploring Microsoft Power BI, Streamlit & Visivo

Microsoft Power BI vs. Streamlit vs. Visivo

Compare key features, capabilities, and differentiators between Microsoft Power BI, Streamlit, 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

FeatureMicrosoft Power BIStreamlitVisivo
Deployment ModelDesktop + Cloud Service (PowerBI.com), on-prem Report ServerOpen-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterpriseOpen-source, Cloud Service, Self-hosted
PricingFree desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hostingOpen 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.

Microsoft Power BI

Business analystsExcel power usersenterprise BI teamsBusiness analysts

Streamlit

Data scientistsPython developersML engineers

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

Development experience directly impacts team productivity and time-to-value.

Microsoft Power BI

3/5

Streamlit

5/5

Visivo

5/5

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools.

Microsoft Power BI

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

Streamlit

Python data science librariesSQL databasesSnowflake native integration

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

The ability to create compelling visualizations is key to data storytelling.

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.

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's unique strengths and limitations.

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.

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).

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

Critical considerations for enterprise deployments.

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.

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 for modern data teams.

DAG-Based Architecture for complex data transformations
Visual to Human-readable Code conversion
Multiple development approaches for all skill levels
AI-Powered dashboard creation
Full Git integration and version control
Open-source with enterprise features

Ready to Experience Modern BI?

Try Visivo today and see how it transforms your data analytics workflow.

$ curl -fsSL https://visivo.sh | bash
undefined
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
agent avatar
How can I help? This connects to our slack so I'll respond real quickly 😄
Powered by Chatlio