Exploring Streamlit, Apache Superset & Visivo
Streamlit vs. Apache Superset vs. Visivo
Compare key features, capabilities, and differentiators between Streamlit, Apache Superset, 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 | Apache Superset | Visivo |
---|---|---|---|
Deployment Model | Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterprise | Self-host (Apache OSS), Preset Cloud (managed), Docker deployment | Open-source, Cloud Service, Self-hosted |
Pricing | Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting | Open-source (Apache 2.0); Preset Cloud offers paid hosting/support | 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
Apache Superset
Visivo
Ease of Development & Deployment
Development experience directly impacts team productivity and time-to-value.
Streamlit
Apache Superset
Visivo
Key Integrations & Ecosystem
A robust ecosystem of integrations is essential for modern BI tools.
Streamlit
Apache Superset
Visivo
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.
Apache Superset
Rich set of visualizations (bar, line, time-series, big number, etc.) via built-in plugins. Dashboards support filters and cross-highlighting. Customization is decent (colors, chart options) but not as polished as Tableau. Can create custom viz plugins with React/D3 if needed.
Visivo
Highly custom UI with easy defaults
Detailed Differentiators
Each platform's unique strengths and limitations.
Streamlit
Apache Superset
Visivo
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.
Apache Superset
DB Access: Yes, connects directly to databases with provided creds (queries run in DB). Virtualization: No internal data storage beyond caches – queries are delegated to sources. Push: No, data is pulled via queries on demand or scheduled caching. Other: Supports row-level security filters and role-based access to datasets/dashboards. Uses your DB's security for data access (you supply read-only creds).
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.
Ready to Experience Modern BI?
Try Visivo today and see how it transforms your data analytics workflow.
$ curl -fsSL https://visivo.sh | bash