Exploring Rill Data, Mode & Visivo

Rill Data vs. Mode vs. Visivo

Compare key features, capabilities, and differentiators between Rill Data, Mode, 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

FeatureRill DataModeVisivo
Deployment ModelCloud service (Managed)Cloud (SaaS), Enterprise deployment, Private cloudOpen-source, Cloud Service, Self-hosted
PricingCloud Team plan >$250/mo - Pay by GB of data in dashboards after 1st 10GBSubscription per user (tiered features). Proprietary.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

Operations TeamsAnalytics Engineers

Mode

Data analystsData scientistsBusiness teams consuming insights

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Rill Data

3/5

Mode

3/5

Visivo

5/5

Key Integrations & Ecosystem

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

Rill Data

Integrates with data lakes (Parquet/CSV) and DBs via importSlack integration for alertsCustom Code Based Integration

Mode

Multiple SQL databasesPython/R for advanced analyticsAPI and webhooks for automation

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

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)

Mode

Hybrid analytics: Start with SQL query, then seamlessly use results in a Python or R notebook within Mode. Visualizations: either use the built-in chart builder on query results (which is simple but covers basics), or output custom plots from the notebook (Matplotlib, etc.). You can combine these in a report. Good for analytical narratives.

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform's unique strengths and limitations.

Rill Data

Embedded DuckDB engine – co-locates data & compute for speed. True 'metrics store' approach (define metrics once) for consistency.
Still maturing feature set; requires data to be loaded into Rill, and fewer visualization options than full BI suites.

Mode

Combines analytics workflows: SQL + Python/R in one tool, enabling advanced analysis (statistical, ML) with sharing in one place. Great collaboration – team commentary and shareable, embeddable reports.
Not aimed at strict self-service for non-analysts (business users usually consume results, not build). Lacks a governed semantic layer – relies on analysts to maintain consistency.

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.

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).

Mode

DB Access: Yes, Mode executes queries against your DB whenever a report refreshes. Virtualization: No separate layer – it's basically a client querying the DB. Push: No, except you can schedule exports of results to external systems. Other: Row-level security must be implemented in SQL (no built-in feature for it). Supports SSO and fine-grained access to reports (who can view/edit).

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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