Exploring Rill Data, Hex & Visivo

Rill Data vs. Hex vs. Visivo

Compare key features, capabilities, and differentiators between Rill Data, Hex, 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 DataHexVisivo
Deployment ModelCloud service (Managed)Cloud (SaaS), Private cloud, Enterprise VPCOpen-source, Cloud Service, Self-hosted
PricingCloud Team plan >$250/mo - Pay by GB of data in dashboards after 1st 10GBSaaS subscription (free tier with limited projects; paid for teams). Closed-source.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

Hex

Data scientistsAnalytics engineersData teams collaborating on notebooks

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Rill Data

3/5

Hex

4/5

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

Hex

Cloud data warehouses (Snowflake, BigQuery, etc.)dbt models and Git reposPython/SQL data sources

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)

Hex

Hybrid UI: notebook-style cells that can contain Pandas dataframes, SQL, or Python code, and separate 'app' view for interactive visual output. Visualizations can be created by pointing and clicking on a dataframe result (common chart types), or fully custom via Python libraries. Can add input widgets for interactivity.

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.

Hex

Mix of code and no-code: data pros can write Python or SQL, then non-tech stakeholders can use the polished published app with interactive controls. Strong collaboration (multiple users can edit same notebook).
Geared towards data team usage – not a pure drag-and-drop BI for end users. To fully utilize, one needs coding ability.

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).

Hex

DB Access: Yes, connects directly using provided credentials to sources. Virtualization: No separate semantic layer; queries are run in notebooks. Push: No, though can output results to external sinks via code. Other: Offers granular access controls on projects (who can view/edit). Supports OAuth for data sources so credentials aren't exposed.

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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