Exploring Microsoft Power BI, Apache Superset & Visivo

Microsoft Power BI vs. Apache Superset vs. Visivo

Compare key features, capabilities, and differentiators between Microsoft Power BI, 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

FeatureMicrosoft Power BIApache SupersetVisivo
Deployment ModelDesktop + Cloud Service (PowerBI.com), on-prem Report ServerSelf-host (Apache OSS), Preset Cloud (managed), Docker deploymentOpen-source, Cloud Service, Self-hosted
PricingFree desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.Open-source (Apache 2.0); Preset Cloud offers paid hosting/supportOpen 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.

Microsoft Power BI

Business analystsExcel power usersenterprise BI teamsBusiness analysts

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.

Microsoft Power BI

3/5

Apache Superset

3/5

Visivo

5/5

Key Integrations & Ecosystem

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

Microsoft Power BI

100+ connectors (SQL DBs, Spark, Snowflake, Excel, Salesforce, etc.)Azure ML and Python/R integrationPower BI Gateway for custom integrations

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.

Microsoft Power BI

Rich library of visuals (bar, line, maps, etc.) plus custom visuals marketplace. Highly customizable formatting. Dashboard-style layouts with interactive tiles. Advanced calculations via DAX formula language.

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.

Microsoft Power BI

Tight integration with Microsoft ecosystem (Excel, Azure). Easy to start for Excel users. AI features like Natural Language Q&A and Quick Insights built-in.
Desktop Windows-only; complex on very large datasets without Premium. DAX formulas have steep learning curve for some.

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.

Microsoft Power BI

DB Access: Import mode stores data in in-memory caches (no DB needed at view time); DirectQuery mode requires DB connection for each view. Virtualization: DirectQuery and live connect act as virtualization (query on demand). Push: Supports push data via streaming API for real-time dashboards. Other: Robust security with Azure AD; row-level security definable in reports; data encryption on cloud.

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
undefined
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
Jared Jesionek (co-founder)
agent avatar
How can I help? This connects to our slack so I'll respond real quickly 😄
Powered by Chatlio