Overview

Tableau

Stacks1.3K

Followers1.4K

Votes8

Power BI

Stacks991

Followers946

Votes29

Power BI vs Tableau: What are the differences?

## Key Differences between Power BI and Tableau

Power BI and Tableau are popular business intelligence tools used for data visualization and analysis. While both tools offer similar functionalities, there are key differences that set them apart.

1. **Cost**: One significant difference between Power BI and Tableau is their pricing structure. Power BI offers a more economical option with its Power BI Desktop being a free tool, while Tableau tends to be more expensive with its license fees and subscription model.
2. **Ease of Use**: Power BI is known for its user-friendly interface, making it easier for users to create visualizations and reports without a steep learning curve. On the other hand, Tableau is considered to have a steeper learning curve but offers more advanced features and customizations.
3. **Integration**: Power BI integrates seamlessly with other Microsoft products like Excel, SharePoint, and Teams, making it a preferred choice for organizations already using Microsoft services. Tableau, on the other hand, offers broader integration capabilities with various data sources and cloud platforms.
4. **Data Connectivity**: Tableau is often praised for its extensive range of data connectors, allowing users to connect to different data sources easily. In contrast, while Power BI also offers a wide range of data connectors, some users find Tableau's options to be more diverse and robust.
5. **Visualization Capabilities**: Tableau is widely recognized for its advanced visualization capabilities, offering more sophisticated chart types, interactive dashboards, and storytelling features. Power BI, on the other hand, provides solid visualization options but may not offer the same level of customization and interactivity as Tableau.
6. **Collaboration Features**: Power BI comes with built-in collaboration features like sharing reports and dashboards within the Power BI service, which makes it easier for teams to work together on projects. Tableau offers similar collaboration features but may require additional setup and configuration.

In Summary, Power BI and Tableau have their unique strengths and weaknesses, offering users a choice based on their specific requirements and preferences.

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Advice on Tableau, 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

Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k

Comments

Detailed Comparison

Tableau	Power BI
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.	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.
Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.	Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
Stacks 1.3K	Stacks 991
Followers 1.4K	Followers 946
Votes 8	Votes 29
Pros & Cons
Pros 6 Capable of visualising billions of rows 1 Intuitive and easy to learn 1 Responsive Cons 3 Very expensive for small companies	Pros 18 Cross-filtering 4 Database visualisation 2 Access from anywhere 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL
Integrations
No integrations available	Microsoft Excel

What are some alternatives to Tableau, Power BI?

Metabase

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.

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.