Exploring Redash, Metabase & Visivo

Redash Vs. Metabase Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Redash, Metabase, 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.

FeatureRedashMetabaseVisivo
Deployment ModelSelf-host (open-source), Docker deployment, Community cloud forksSelf-host OSS (Java), Metabase Cloud (hosted SaaS), Docker deploymentOpen-source, Cloud Service, Self-hosted
PricingOpen-source (BSD 2-Clause); acquired by Databricks, maintained community version.Open-source core (AGPL v3); Enterprise features in paid plansOpen 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
RedashSelf-host (open-source), Docker deployment, Community cloud forksOpen-source (BSD 2-Clause); acquired by Databricks, maintained community version.$
MetabaseSelf-host OSS (Java), Metabase Cloud (hosted SaaS), Docker deploymentOpen-source core (AGPL v3); Enterprise features in paid plans$$
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.

Redash

SQL analystsData engineersTechnical teams needing quick dashboards

Metabase

Non-technical business usersProduct teamsData teams for quick 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.

Redash

Metabase

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.

Redash

SQL and NoSQL databasesAPI-based data sourcesSimple query runner architecture

Metabase

Major SQL databasesNoSQL databases (MongoDB, Druid)dbt metadata via community plugin

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
Redash
Metabase
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.

Redash

Very basic visualizations: each query can be visualized as a table, chart (line, bar, pie, scatter) or pivot. Limited formatting options. Dashboards are grids of query results visualizations and text. Suited for lightweight reporting.

Metabase

Simplified UI: users can create questions (queries) via a point-and-click interface or SQL editor. Visualizations cover basic needs (bar, line, pie, maps, etc.). Dashboards allow filter widgets to link multiple cards. Customization is basic – focus is on quick insights over polished design.

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.

Redash

+ Light footprint, easy to deploy. Great for engineers to quickly share SQL results with team (share link to dashboard).
− Minimal feature set by modern standards: no semantic layer, weak visualization variety, and no fine-grained permissions (all users can see all queries by default in OSS). The project has slowed development (Databricks shifted focus).

Metabase

+ Extremely easy for non-technical users to ask questions – great for self-service on simple queries.
− No semantic layer – each "question" is standalone, which can lead to inconsistent metrics if not careful. Lacks advanced visuals and fine formatting; not ideal for complex dashboards or large-scale governance.

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.

Redash

DB Access: Yes, stores DB credentials and queries the source directly for each refresh. Virtualization: No – it's a thin layer over the DB. Push: No, only pull (with caching of recent results). Other: Basic user roles; can embed visualizations via public URLs (security relies on random tokens). Lacks advanced security features like row-level controls.

Metabase

DB Access: Yes, Metabase connects directly to each data source to run queries. Virtualization: No intermediate layer – it's live queries (with caching). Push: No (pull-based queries; can cache results in application DB). Other: Supports row-level security with query filters (enterprise). Offers auditing of questions run. Embedding to apps with signed tokens available (with its own 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 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.

$ curl -fsSL https://visivo.sh | bash
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Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
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How can I help? This connects to our slack so I'll respond real quickly 😄
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