Exploring Looker Studio, Microsoft Power BI & Visivo

Looker Studio Vs. Microsoft Power BI Vs. Visivo

In this article, we'll compare the key features, capabilities, and differentiators between Looker Studio, Microsoft Power BI, Visivo. This comprehensive comparison will help you make an informed decision about which platform best suits your data visualization and analytics needs.

Quick Comparison

A high-level overview of key features and capabilities across these BI tools. This comparison helps you quickly identify which platform best matches your needs.

FeatureLooker StudioMicrosoft Power BIVisivo
Deployment ModelCloud (Google Cloud), Enterprise deployment, Private cloudDesktop + Cloud Service (PowerBI.com), on-prem Report ServerOpen-source, Cloud Service, Self-hosted
PricingFree to use (with Google account); Pro version for enterprise (Looker Studio Pro) introduced with SLAs.Free desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.Open source (GPL-3.0)
Cost$$$$$
Git Integration✔️
CI/CD & Testing✔️
Real-time
AI✔️✔️
Visual to Code✔️
DAG-Based✔️

Deployment & Pricing

Understanding the deployment options and pricing structure is crucial for making an informed decision. Here's how each platform handles deployment and what you can expect in terms of costs.

ToolDeployment ModelPricingCost
Looker StudioCloud (Google Cloud), Enterprise deployment, Private cloudFree to use (with Google account); Pro version for enterprise (Looker Studio Pro) introduced with SLAs.$
Microsoft Power BIDesktop + Cloud Service (PowerBI.com), on-prem Report ServerFree desktop for windows; Pro $10/user/mo for sharing; Premium by capacity. Proprietary license.$$$
VisivoOpen-source, Cloud Service, Self-hostedOpen source (GPL-3.0)$

Target Users & Use-Cases

Each BI tool is designed with specific user personas in mind. Understanding the target audience helps ensure you choose a platform that aligns with your team's skills and needs.

Looker Studio

Business usersMarketersGoogle ecosystem users

Microsoft Power BI

Business analystsExcel power usersenterprise BI teamsBusiness analysts

Visivo

Analytics EngineersData teamsBusiness usersEngineers

Ease of Development & Deployment

The development experience can significantly impact your team's productivity. This section compares how easy it is to build, deploy, and maintain dashboards in each platform.

Looker Studio

Microsoft Power BI

Visivo

Key Integrations & Ecosystem

A robust ecosystem of integrations is essential for modern BI tools. Here's how each platform connects with other tools in your data stack.

Looker Studio

500+ data connectorsGoogle products (Analytics, Ads)SQL databases via Simba drivers

Microsoft Power BI

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

Visivo

dbt coreAll major databasesCustom connector frameworkSlack for alertsGithub

AI & Advanced Features

Artificial intelligence is transforming how we interact with data. Compare the AI capabilities and advanced features offered by each platform.

ToolAI Features
Looker Studio
Microsoft Power BI✔️
Visivo✔️

Visualization Capabilities

The ability to create compelling and insightful visualizations is a key differentiator between BI tools. Here's how each platform handles data visualization.

Looker Studio

Drag-and-drop report editor. Offers charts like time series, bar, geo maps, tables. Customization is decent (colors, labels), though not as fine-grained as Tableau. Supports community visualizations (bring custom JS charts). Layout is canvas-style – good for dashboards and infographics.

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.

Visivo

Highly custom UI with easy defaults

Detailed Differentiators

Each platform has its own strengths and weaknesses. Here's a detailed breakdown of what sets each tool apart, including both advantages and limitations.

Looker Studio

+ Completely free for most use-cases. Extremely easy for simple needs – non-tech users can create a shareable dashboard in minutes. Being Google, sharing and embedding is seamless.
− Lacks advanced analytics (no calculated fields beyond basic formulas, limited data shaping). Performance can suffer on large data sets unless using aggregated extracts. No row-level security (one report = one set of credentials or extracted data).

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.

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

Security and architecture are critical considerations for enterprise deployments. Here's how each platform handles data security and system architecture.

Looker Studio

DB Access: Yes, live connects to sources using provided credentials (or OAuth tokens). Option to cache query results in Google's cache for performance. Virtualization: Data remains in source or cache – Data Studio doesn't store data persistently (except cached). Push: No, it pulls data when rendering charts. Other: Uses Google account auth for access; you can manage view/edit permissions on reports. Lacks fine security on data level (you'd need separate reports or filters per audience).

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.

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 that make it an excellent choice for modern data teams.

  • DAG-Based Architecture: Enables complex data transformations and dependencies
  • Visual to Human-readable Code: Seamlessly switch between visual and code-based development
  • Ease of Development: Multiple approaches to build for both technical and non-technical users
  • AI-Powered Development: Leverage AI to accelerate dashboard creation
  • Git Integration: Full version control and collaboration capabilities

Ready to experience the power of modern BI? Try Visivo today and see how it compares to other tools in your stack.

$ curl -fsSL https://visivo.sh | bash
Sign Up for FreeRequest a Demo
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