Exploring Rill Data, Looker (Google) & Visivo
Rill Data vs. Looker (Google) vs. Visivo
Compare key features, capabilities, and differentiators between Rill Data, Looker (Google), 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
Feature | Rill Data | Looker (Google) | Visivo |
---|---|---|---|
Deployment Model | Cloud service (Managed) | Cloud-hosted (Google Cloud) | Open-source, Cloud Service, Self-hosted |
Pricing | Cloud Team plan >$250/mo - Pay by GB of data in dashboards after 1st 10GB | Commercial (Proprietary); enterprise pricing (no free tier) | 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.
Rill Data
Looker (Google)
Visivo
Ease of Development & Deployment
Development experience directly impacts team productivity and time-to-value.
Rill Data
Looker (Google)
Visivo
Key Integrations & Ecosystem
A robust ecosystem of integrations is essential for modern BI tools.
Rill Data
Looker (Google)
Visivo
Visualization Capabilities
The ability to create compelling visualizations is key to data storytelling.
Rill Data
Focus on metrics dashboards; limited chart types optimized for fast slice-and-dice; styling is opinionated (less custom code)
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).
Visivo
Highly custom UI with easy defaults
Detailed Differentiators
Each platform's unique strengths and limitations.
Rill Data
Looker (Google)
Visivo
Security & Architecture
Critical considerations for enterprise deployments.
Rill Data
DB Access: Not required at runtime (data is ingested into Rill's engine) – queries run in-memory. Virtualization: Data stays in engine (no live DB hits). Push: Data must be loaded (push ETL to Rill). Security: Supports read-only embedded DB; role-based dashboard access (authentication via service).
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.
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.
Ready to Experience Modern BI?
Try Visivo today and see how it transforms your data analytics workflow.
$ curl -fsSL https://visivo.sh | bash