Exploring Evidence.dev, Grafana & Visivo

Evidence.dev Vs. Grafana Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Evidence.dev, Grafana, 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.devGrafanaVisivo
Deployment ModelSelf-host (static site), Self-host (server), Vercel/Netlify deploymentOpen-source (AGPLv3), Grafana Enterprise, Grafana Cloud, Self-hostedOpen-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.)OSS free; Grafana Enterprise (paid add-ons); Grafana Cloud (free tier & paid).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.)$
GrafanaOpen-source (AGPLv3), Grafana Enterprise, Grafana Cloud, Self-hostedOSS free; Grafana Enterprise (paid add-ons); Grafana Cloud (free tier & paid).$$
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

Grafana

DevOps engineersIT monitoring teamsData engineers for time-series analytics

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

Grafana

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

Grafana

Time-series databases (Prometheus, InfluxDB)SQL databases and cloud metricsAlerting systems (PagerDuty, Slack)

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
Grafana
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.

Grafana

Optimized for time-series and metrics visualizations (graphs, gauges, alerts). Supports logs and traces panels too. Basic charts for category data exist but not Grafana's strong suit. Highly customizable dashboards via JSON config or UI. Many community panels (plugins) to extend visualization types.

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.

Grafana

+ Best for operational dashboards – combining metrics, logs, and traces in one UI (especially with Grafana Cloud). Very extensible via plugins.
− Not designed for ad-hoc business analytics on arbitrary data – e.g., no built-in SQL query builder for relational data (user must write queries or use other tools to prepare data). Visualizations not as geared for presentation (more for investigation).

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).

Grafana

DB Access: Yes, connects directly to data sources (or through its agents). Virtualization: More like federation – it queries multiple backends via plugins. Push: Metric data is often pushed into time-series DBs which Grafana then reads – so indirectly yes (in monitoring use-cases). Grafana itself pulls from those DBs. Other: Auth via LDAP/OAuth. Granular permissions on dashboards and data sources. Encryption and other enterprise security features in paid version.

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
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