Exploring Streamlit, Holistics & Visivo

Streamlit vs. Holistics vs. Visivo

Compare key features, capabilities, and differentiators between Streamlit, Holistics, 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	Holistics	Visivo
Deployment Model	Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterprise	Cloud SaaS (Holistics 4), On-prem enterprise, Private cloud	Open-source, Cloud Service, Self-hosted
Pricing	Open-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting	Commercial (proprietary). Free trial available.	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

Holistics

Data teams (analytics engineers)Business users exploring defined dataData-driven organizations

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Streamlit

5/5

Holistics

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

Holistics

SQL databases (Snowflake, BigQuery, PostgreSQL, etc.). dbt integration: Yes – can import dbt models and exposures, aligning Holistics model with dbt transforms.SQL databases (SnowflakeBigQueryPostgreSQLetc.). dbt integration: Yes – can import dbt models and exposuresaligning Holistics model with dbt transforms.

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.

Holistics

Combines a code-based 'data modeling layer' with a drag/drop UI for end users. Data team defines datasets, dimensions, measures in YAML (or UI), then business users create charts by selecting those fields. Visualization options cover common needs (charts, pivots) with moderate customization. Focus is on accuracy & consistency over flashy visuals.

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).

Holistics

Unified metrics layer: define once in code, use anywhere – similar to LookML but using SQL and a simpler DSL. This ensures a single source of truth across charts.

Requires data modeling effort upfront; not as plug-and-play. Smaller community (less third-party resources than bigger tools).

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.

Holistics

DB Access: Yes, queries run on your DB. Optionally can cache query results in its warehouse for speed. Virtualization: Holistics does not store data long-term; it queries live or caches in temp tables. Push: No, it's pull (with ability to schedule cache refresh). Other: Supports row-level security definitions in the modeling layer; robust role-based view permissions.

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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