Exploring Looker (Google), Qlik Sense & Visivo

Looker (Google) vs. Qlik Sense vs. Visivo

Compare key features, capabilities, and differentiators between Looker (Google), Qlik Sense, 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)Qlik SenseVisivo
Deployment ModelCloud-hosted (Google Cloud)Client-managed (Windows), Client-managed (Kubernetes), Qlik Cloud (SaaS)Open-source, Cloud Service, Self-hosted
PricingCommercial (Proprietary); enterprise pricing (no free tier)Commercial. Qlik Sense Enterprise is subscription (by user or capacity). Qlik Sense Desktop free for personal use.Open 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

Qlik Sense

Enterprise BI usersData analystsGoverned self-service users

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Looker (Google)

2/5

Qlik Sense

4/5

Visivo

5/5

Key Integrations & Ecosystem

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

Looker (Google)

Google CloudGoogle AnalyticsGoogle Sheets

Qlik Sense

Multiple data sources via connectorsPython/R Server Side ExtensionsWeb APIs and databases

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).

Qlik Sense

Powerful interactive visuals with unique associative filtering: all charts update with each selection, and show gray 'excluded' values to encourage discovery. Chart types cover most needs, and extension mechanism allows custom charts. Good formatting control but primarily via UI (no raw HTML/CSS editing).

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.

Qlik Sense

The Associative Engine is Qlik's hallmark – users can freely explore data without query limitations (no SQL needed when using the app). Great for uncovering relationships in data.
Requires data to be loaded into memory for full power, which can be heavy. Learning Qlik's script and the "set analysis" syntax for expressions has a learning curve.

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.

Qlik Sense

DB Access: Typically Qlik imports data into its engine (so not needed at runtime). The new Direct Query option (in Qlik Cloud) allows leaving data in DB and querying on interaction for huge data sets. Virtualization: Qlik's standard method is not virtualization but in-memory copies. However, with Direct Query it behaves virtually. Push: Data is pushed into Qlik via load scripts (you schedule reloads). Other: Strong security – Section Access to implement row-level security inside Qlik apps, and robust user access control on the server.

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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