Exploring Rill Data, Apache Superset & Visivo

Rill Data vs. Apache Superset vs. Visivo

Compare key features, capabilities, and differentiators between Rill Data, Apache Superset, 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	Apache Superset	Visivo
Deployment Model	Cloud service (Managed)	Self-host (Apache OSS), Preset Cloud (managed), Docker deployment	Open-source, Cloud Service, Self-hosted
Pricing	Cloud Team plan >$250/mo - Pay by GB of data in dashboards after 1st 10GB	Open-source (Apache 2.0); Preset Cloud offers paid hosting/support	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

Apache Superset

Data analystsSQL-savvy business usersData engineers

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

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

Rill Data

3/5

Apache Superset

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

Apache Superset

SQL databases via SQLAlchemyAuthentication systems (OAuth, LDAP)dbt outputs as 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)

Apache Superset

Rich set of visualizations (bar, line, time-series, big number, etc.) via built-in plugins. Dashboards support filters and cross-highlighting. Customization is decent (colors, chart options) but not as polished as Tableau. Can create custom viz plugins with React/D3 if needed.

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.

Apache Superset

Open-source BI with no vendor lock-in. Large community and improving UI. Suitable for embedding into internal tools.

Setup and maintenance require engineering effort (Docker, config). UI can be less intuitive for non-technical users; SQL knowledge often needed for custom queries.

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).

Apache Superset

DB Access: Yes, connects directly to databases with provided creds (queries run in DB). Virtualization: No internal data storage beyond caches – queries are delegated to sources. Push: No, data is pulled via queries on demand or scheduled caching. Other: Supports row-level security filters and role-based access to datasets/dashboards. Uses your DB's security for data access (you supply read-only creds).

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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