Exploring Looker (Google), Metabase & Visivo

Looker (Google) vs. Metabase vs. Visivo

Compare key features, capabilities, and differentiators between Looker (Google), Metabase, 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

FeatureLooker (Google)MetabaseVisivo
Deployment ModelCloud-hosted (Google Cloud)Self-host OSS (Java), Metabase Cloud (hosted SaaS), Docker deploymentOpen-source, Cloud Service, Self-hosted
PricingCommercial (Proprietary); enterprise pricing (no free tier)Open-source core (AGPL v3); Enterprise features in paid plansOpen 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.

Looker (Google)

Enterprise OrganizationsGoogle Cloud Accounts

Metabase

Non-technical business usersProduct teamsData teams for quick analytics

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Looker (Google)

2/5

Metabase

5/5

Visivo

5/5

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools.

Looker (Google)

Google CloudGoogle AnalyticsGoogle Sheets

Metabase

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

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

Visualization Capabilities

The ability to create compelling visualizations is key to data storytelling.

Looker (Google)

Robust web dashboards and exploratory interface. Good selection of chart types; custom visualizations via plugins or custom code. Highly customizable via LookML for data logic, but visual formatting is UI-driven (some limitations vs. Tableau).

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's unique strengths and limitations.

Looker (Google)

LookML semantic layer – centralized metrics definitions ensure a 'single source of truth'. Strong governance (row-level security, permissions) and embedded analytics support.
Requires upfront modeling (learning LookML); expensive. Visual customization and ad-hoc analysis flexibility less than Tableau/PowerBI.

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

Critical considerations for enterprise deployments.

Looker (Google)

DB Access: Yes (direct read queries to DB with cached results). Virtualization: No internal engine – relies on source DB ('in-database' analytics). Push: No, pull-based queries (though persistent derived tables can be pushed into DB). Other: Fine-grained RBAC; row-level security; SSO/SAML support.

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 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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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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