Exploring Evidence.dev, Preset & Visivo

Evidence.dev Vs. Preset Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Evidence.dev, Preset, 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.

FeatureEvidence.devPresetVisivo
Deployment ModelSelf-host (static site), Self-host (server), Vercel/Netlify deploymentCloud (multi-tenant), Cloud (VPC), Managed serviceOpen-source, Cloud Service, Self-hosted
PricingOpen-source (MIT); free to use. New hosted service as of fall 2024 (can also deploy on Vercel, Netlify, etc.)Managed service (subscription per creator & usage). Underlying Superset is Apache-licensed.Open 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
Evidence.devSelf-host (static site), Self-host (server), Vercel/Netlify deploymentOpen-source (MIT); free to use. New hosted service as of fall 2024 (can also deploy on Vercel, Netlify, etc.)$
PresetCloud (multi-tenant), Cloud (VPC), Managed serviceManaged service (subscription per creator & usage). Underlying Superset is Apache-licensed.$$$
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.

Evidence.dev

Analytics engineersData-savvy users who prefer code/markdown workflowEngineers & Academics

Preset

Data teams wanting managed SupersetOrganizations without resources to self-hostEnterprise analytics teams

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.

Evidence.dev

Preset

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.

Evidence.dev

SQL databases via JDBC/ODBCdbt metadata integrationStatic site deployment platforms

Preset

Same database integrations as Supersetdbt Cloud for metadataOAuth connections to popular DBs

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
Evidence.dev
Preset
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.

Evidence.dev

Reports built as Markdown with embedded SQL and charts. Outputs static HTML dashboards. Customization via editing Markdown/HTML/CSS; not a point-and-click UI.

Preset

Identical visualization capabilities to Apache Superset (Preset is built on Superset) – plus a nicer UI/UX and theme. Custom visualizations can be added via Preset's marketplace.

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.

Evidence.dev

+ + Write dashboards as code – lightweight, reproducible, easily integrated with dbt pipelines. Great for data narratives that combine text, data, and charts.
− Static output means no ad-hoc drilling by end users; requires comfort with writing Markdown/SQL.

Preset

+ Easiest way to use Superset – fully managed infrastructure and support from Superset experts. New features and custom connectors often available.
− Still catching up to feature parity with mature BI tools in terms of collaboration (Git, fine-grained content permissions).

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.

Evidence.dev

DB Access: Queries run at build time (or page load if in server mode); not needed for end viewer (static pages). Virtualization: By nature, it materializes results into the page (no live DB query once published). Push: Yes – essentially a push of data into static site. Other: No runtime user management (pages are static); security depends on where you host (you wouldn't include sensitive data in a public build).

Preset

DB Access: Yes (your databases' credentials are stored in Preset; it queries them directly). Virtualization: No, live queries on sources (with optional result caching). Push: No – you supply data to your DB, Preset pulls on viz. Other: Managed security – SSO integration, teams/roles setup in UI. Data stays in your cloud DB; Preset does not persist data (aside from cached query results).

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.

$pip install visivo
Sign Up for FreeRequest a Demo