Metabase vs Power BI

Overview

Metabase

Stacks926

Followers1.2K

Votes271

GitHub Stars44.4K

Forks6.0K

Power BI

Stacks991

Followers946

Votes29

Metabase vs Power BI: What are the differences?

Metabase and Power BI are popular business intelligence tools that provide data visualization and analysis capabilities. While both tools serve the same purpose, there are key differences that set them apart from each other.

User Interface and Ease of Use: Metabase focuses on simplicity and ease of use, offering a clean and intuitive user interface that allows even non-technical users to create their own visualizations and dashboards. Power BI, on the other hand, offers a more feature-rich and complex interface, catering to users with more advanced data analysis needs.
Data Sources and Connectivity: Metabase supports a limited number of data sources out of the box, and requires additional setup and configuration to connect to more complex data sources. Power BI, on the other hand, offers a wide range of built-in connectors and integrations, allowing users to easily connect to various data sources such as databases, cloud services, and APIs.
Customization and Extensibility: Metabase provides a limited set of customization options, allowing users to modify the appearance and layout of visualizations to a certain extent. Power BI, on the other hand, offers a wide range of customization options and allows users to create custom visuals using JavaScript-based programming.
Collaboration and Sharing: Metabase provides basic collaboration and sharing features, allowing users to share dashboards and visualizations with others through a shareable link. Power BI, on the other hand, offers more advanced collaboration features, such as real-time collaboration and the ability to publish dashboards to the Power BI service for easy sharing and access.
Advanced Analytics and Machine Learning: Power BI offers advanced analytics capabilities, including the ability to create complex calculations, perform statistical analysis, and integrate machine learning models into visualizations. Metabase, on the other hand, focuses more on basic data exploration and visualization, with limited support for advanced analytics.
Pricing and Licensing: Metabase is an open-source tool and is free to use, making it an attractive option for small businesses and individuals. Power BI, on the other hand, offers both free and paid plans, with additional features and capabilities available in the paid versions.

In summary, Metabase is a user-friendly and cost-effective option for basic data analysis and visualization, while Power BI offers more advanced features and capabilities, making it suitable for users with more complex data analysis needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Metabase, Power BI

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k

Comments

Detailed Comparison

Metabase	Power BI
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.	It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
-	Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
GitHub Stars 44.4K	GitHub Stars -
GitHub Forks 6.0K	GitHub Forks -
Stacks 926	Stacks 991
Followers 1.2K	Followers 946
Votes 271	Votes 29
Pros & Cons
Pros 62 Database visualisation 45 Open Source 41 Easy setup 36 Dashboard out of the box 23 Free Cons 7 Harder to setup than similar tools	Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere
Integrations
PostgreSQL MongoDB Amazon Redshift MySQL Microsoft SQL Server	Microsoft Excel

What are some alternatives to Metabase, Power BI?

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Looker

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

Related Comparisons

Metabase vs Power BI: What are the differences?

User Interface and Ease of Use: Metabase focuses on simplicity and ease of use, offering a clean and intuitive user interface that allows even non-technical users to create their own visualizations and dashboards. Power BI, on the other hand, offers a more feature-rich and complex interface, catering to users with more advanced data analysis needs.
Data Sources and Connectivity: Metabase supports a limited number of data sources out of the box, and requires additional setup and configuration to connect to more complex data sources. Power BI, on the other hand, offers a wide range of built-in connectors and integrations, allowing users to easily connect to various data sources such as databases, cloud services, and APIs.
Customization and Extensibility: Metabase provides a limited set of customization options, allowing users to modify the appearance and layout of visualizations to a certain extent. Power BI, on the other hand, offers a wide range of customization options and allows users to create custom visuals using JavaScript-based programming.
Collaboration and Sharing: Metabase provides basic collaboration and sharing features, allowing users to share dashboards and visualizations with others through a shareable link. Power BI, on the other hand, offers more advanced collaboration features, such as real-time collaboration and the ability to publish dashboards to the Power BI service for easy sharing and access.
Advanced Analytics and Machine Learning: Power BI offers advanced analytics capabilities, including the ability to create complex calculations, perform statistical analysis, and integrate machine learning models into visualizations. Metabase, on the other hand, focuses more on basic data exploration and visualization, with limited support for advanced analytics.
Pricing and Licensing: Metabase is an open-source tool and is free to use, making it an attractive option for small businesses and individuals. Power BI, on the other hand, offers both free and paid plans, with additional features and capabilities available in the paid versions.

Metabase vs Power BI

Overview