Exploring Tableau (Salesforce), Streamlit & Visivo

Tableau (Salesforce) Vs. Streamlit Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Tableau (Salesforce), Streamlit, 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.

FeatureTableau (Salesforce)StreamlitVisivo
Deployment ModelDesktop + Tableau Server, Desktop + (on-prem) Tableau Server, Desktop + Tableau Cloud (SaaS)Open-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterpriseOpen-source, Cloud Service, Self-hosted
PricingCommercial (Proprietary); ~$70/user/mo for Creator. Public edition free (cloud, limited)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✔️
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
Tableau (Salesforce)Desktop + Tableau Server, Desktop + (on-prem) Tableau Server, Desktop + Tableau Cloud (SaaS)Commercial (Proprietary); ~$70/user/mo for Creator. Public edition free (cloud, limited)$$$$$
StreamlitOpen-source (Python library), Self-hosted server, Streamlit Cloud, Snowflake-managed enterpriseOpen-source (Apache 2.0); Free community hosting (limited), Snowflake-managed enterprise hosting$
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.

Tableau (Salesforce)

Enterprise OrganizationsData analysts & business users (self-service BI)

Streamlit

Data scientistsPython developersML engineers

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.

Tableau (Salesforce)

Streamlit

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.

Tableau (Salesforce)

Major SQL and cloud data warehousesPython/R via TabPydbt through published data sources

Streamlit

Python data science librariesSQL databasesSnowflake native integration

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
Tableau (Salesforce)
Streamlit
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.

Tableau (Salesforce)

Best-in-class drag-and-drop visualization. Wide variety of chart types and mapping; highly refined visual customization. Dashboards with interactive actions. Limited custom theming without extensions, but very flexible analytically.

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 has its own strengths and weaknesses. Here's a detailed breakdown of what sets each tool apart, including both advantages and limitations.

Tableau (Salesforce)

+ + Renowned for its ease of use and visual analytics power – users can explore data fluidly. Strong community and support. AI: 'Ask Data' (NL queries) and 'Explain Data' insights in newer versions.
− Licensing cost; less programmable (proprietary formulas, no Git). Large deployments require governance to avoid 'spreadmarts.'

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

Security and architecture are critical considerations for enterprise deployments. Here's how each platform handles data security and system architecture.

Tableau (Salesforce)

DB Access: Optional – can import data into Tableau's Hyper engine or query live. Virtualization: Live query leaves data at source (virtualized access). Push: Extracts are pull-based (scheduled). Other: Row-level security via data source filters; fine-grained user permissions on Server; supports SAML/OAuth for auth.

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 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.

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