Exploring Streamlit, Rill Data & Visivo

Streamlit vs. Rill Data vs. Visivo

Compare key features, capabilities, and differentiators between Streamlit, Rill Data, 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	Streamlit	Rill Data	Visivo
Deployment Model	Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterprise	Cloud service (Managed)	Open-source, Cloud Service, Self-hosted
Pricing	Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting	Cloud Team plan >$250/mo - Pay by GB of data in dashboards after 1st 10GB	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.

Streamlit

Data scientistsPython developersML engineers

Rill Data

Operations TeamsAnalytics Engineers

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Streamlit

5/5

Rill Data

3/5

Visivo

5/5

Key Integrations & Ecosystem

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

Streamlit

Python data science librariesSQL databasesSnowflake native integration

Rill Data

Integrates with data lakes (Parquet/CSV) and DBs via importSlack integration for alertsCustom Code Based Integration

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

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

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.

Rill Data

Focus on metrics dashboards; limited chart types optimized for fast slice-and-dice; styling is opinionated (less custom code)

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform's unique strengths 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).

Rill Data

Embedded DuckDB engine – co-locates data & compute for speed. True 'metrics store' approach (define metrics once) for consistency.

Still maturing feature set; requires data to be loaded into Rill, and fewer visualization options than full BI suites.

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.

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.

Rill Data

DB Access: Not required at runtime (data is ingested into Rill's engine) – queries run in-memory. Virtualization: Data stays in engine (no live DB hits). Push: Data must be loaded (push ETL to Rill). Security: Supports read-only embedded DB; role-based dashboard access (authentication via service).

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

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