- Blog Categories
- Project Management
- Agile Management
- IT Service Management
- Cloud Computing
- Business Management
- BI And Visualisation
- Quality Management
- Cyber Security
- Most Popular Blogs
- PMP Exam Schedule for 2025: Check PMP Exam Date
- Top 60+ PMP Exam Questions and Answers for 2025
- PMP Cheat Sheet and PMP Formulas To Use in 2025
- What is PMP Process? A Complete List of 49 Processes of PMP
- Top 15+ Project Management Case Studies with Examples 2025
- Top Picks by Authors
- Top 170 Project Management Research Topics
- What is Effective Communication: Definition
- How to Create a Project Plan in Excel in 2025?
- PMP Certification Exam Eligibility in 2025 [A Complete Checklist]
- PMP Certification Fees - All Aspects of PMP Certification Fee
- Most Popular Blogs
- CSM vs PSM: Which Certification to Choose in 2025?
- How Much Does Scrum Master Certification Cost in 2025?
- CSPO vs PSPO Certification: What to Choose in 2025?
- 8 Best Scrum Master Certifications to Pursue in 2025
- Safe Agilist Exam: A Complete Study Guide 2025
- Top Picks by Authors
- SAFe vs Agile: Difference Between Scaled Agile and Agile
- Top 21 Scrum Best Practices for Efficient Agile Workflow
- 30 User Story Examples and Templates to Use in 2025
- State of Agile: Things You Need to Know
- Top 24 Career Benefits of a Certifed Scrum Master
- Most Popular Blogs
- ITIL Certification Cost in 2025 [Exam Fee & Other Expenses]
- Top 17 Required Skills for System Administrator in 2025
- How Effective Is Itil Certification for a Job Switch?
- IT Service Management (ITSM) Role and Responsibilities
- Top 25 Service Based Companies in India in 2025
- Top Picks by Authors
- What is Escalation Matrix & How Does It Work? [Types, Process]
- ITIL Service Operation: Phases, Functions, Best Practices
- 10 Best Facility Management Software in 2025
- What is Service Request Management in ITIL? Example, Steps, Tips
- An Introduction To ITIL® Exam
- Most Popular Blogs
- A Complete AWS Cheat Sheet: Important Topics Covered
- Top AWS Solution Architect Projects in 2025
- 15 Best Azure Certifications 2025: Which one to Choose?
- Top 22 Cloud Computing Project Ideas in 2025 [Source Code]
- How to Become an Azure Data Engineer? 2025 Roadmap
- Top Picks by Authors
- Top 40 IoT Project Ideas and Topics in 2025 [Source Code]
- The Future of AWS: Top Trends & Predictions in 2025
- AWS Solutions Architect vs AWS Developer [Key Differences]
- Top 20 Azure Data Engineering Projects in 2025 [Source Code]
- 25 Best Cloud Computing Tools in 2025
- Most Popular Blogs
- Company Analysis Report: Examples, Templates, Components
- 400 Trending Business Management Research Topics
- Business Analysis Body of Knowledge (BABOK): Guide
- ECBA Certification: Is it Worth it?
- How to Become Business Analyst in 2025? Step-by-Step
- Top Picks by Authors
- Top 20 Business Analytics Project in 2025 [With Source Code]
- ECBA Certification Cost Across Countries
- Top 9 Free Business Requirements Document (BRD) Templates
- Business Analyst Job Description in 2025 [Key Responsibility]
- Business Analysis Framework: Elements, Process, Techniques
- Most Popular Blogs
- Best Career options after BA [2025]
- Top Career Options after BCom to Know in 2025
- Top 10 Power Bi Books of 2025 [Beginners to Experienced]
- Power BI Skills in Demand: How to Stand Out in the Job Market
- Top 15 Power BI Project Ideas
- Top Picks by Authors
- 10 Limitations of Power BI: You Must Know in 2025
- Top 45 Career Options After BBA in 2025 [With Salary]
- Top Power BI Dashboard Templates of 2025
- What is Power BI Used For - Practical Applications Of Power BI
- SSRS Vs Power BI - What are the Key Differences?
- Most Popular Blogs
- Data Collection Plan For Six Sigma: How to Create One?
- Quality Engineer Resume for 2025 [Examples + Tips]
- 20 Best Quality Management Certifications That Pay Well in 2025
- Six Sigma in Operations Management [A Brief Introduction]
- Top Picks by Authors
- Six Sigma Green Belt vs PMP: What's the Difference
- Quality Management: Definition, Importance, Components
- Adding Green Belt Certifications to Your Resume
- Six Sigma Green Belt in Healthcare: Concepts, Benefits and Examples
- Most Popular Blogs
- Latest CISSP Exam Dumps of 2025 [Free CISSP Dumps]
- CISSP vs Security+ Certifications: Which is Best in 2025?
- Best CISSP Study Guides for 2025 + CISSP Study Plan
- How to Become an Ethical Hacker in 2025?
- Top Picks by Authors
- CISSP vs Master's Degree: Which One to Choose in 2025?
- CISSP Endorsement Process: Requirements & Example
- OSCP vs CISSP | Top Cybersecurity Certifications
- How to Pass the CISSP Exam on Your 1st Attempt in 2025?
- More
- Tutorials
- Practise Tests
- Interview Questions
- Free Courses
- Agile & PMP Practice Tests
- Agile Testing
- Agile Scrum Practice Exam
- CAPM Practice Test
- PRINCE2 Foundation Exam
- PMP Practice Exam
- Cloud Related Practice Test
- Azure Infrastructure Solutions
- AWS Solutions Architect
- AWS Developer Associate
- IT Related Pratice Test
- ITIL Practice Test
- Devops Practice Test
- TOGAF® Practice Test
- Other Practice Test
- Oracle Primavera P6 V8
- MS Project Practice Test
- Project Management & Agile
- Project Management Interview Questions
- Release Train Engineer Interview Questions
- Agile Coach Interview Questions
- Scrum Interview Questions
- IT Project Manager Interview Questions
- Cloud & Data
- Azure Databricks Interview Questions
- AWS architect Interview Questions
- Cloud Computing Interview Questions
- AWS Interview Questions
- Kubernetes Interview Questions
- Web Development
- CSS3 Free Course with Certificates
- Basics of Spring Core and MVC
- Javascript Free Course with Certificate
- React Free Course with Certificate
- Node JS Free Certification Course
- Data Science
- Python Machine Learning Course
- Python for Data Science Free Course
- NLP Free Course with Certificate
- Data Analysis Using SQL
- Free Courses
Tableau vs. Power BI: Difference Between Tableau and Power BI
Updated on 25 November, 2022
6.05K+ views
• 10 min read
Table of Contents
Today, we’re discussing a topic of heated debates – Power BI vs Tableau.
Both of these tools have a large following due to their versatility and utility. While both of them are useful for data analysts and other data science professionals, they have their differences as well. And in this article, we’ll identify this difference between Tableau and Power BI.
Let’s get started.
What is Tableau?
Tableau is a data analytics and business intelligence tool that we use to produce data visualizations and reports. It enables you to convert raw and complex data in easy to understand formats. Tableau can perform data analysis rapidly, and it can produce worksheets and dashboards for data visualization. Its simple products allow everyone to interpret any findings irrespective of whether they are a data analyst or not.
Tableau is excellent for creating beautiful data visualizations. It has a public version (free version) available, but that has very few functionalities. Tableau also has versions for academic purposes and non-profit uses.
Tableau’s Features
Tableau is a host of many features. Some of its best features are the following:
- It doesn’t require any technical expertise to use. This means anyone can use it without worrying about a learning curve or any complicated problem.
- You can share the dashboards you created in Tableau with others.
- Tableau reader facilitates easy data viewing.
- Tableau has data blending available.
- You can embed dashboards for better accessibility.
- You can make data queries that contain no code.
- You can collaborate with others on Tableau for enhanced productivity and coordination.
Tableau offers many advantages to its users. Tableau training doesn’t cost much, and it can build visualizations quickly and easily. Its customer support is also excellent and beats the customer support of its competitors. It uses scripting languages such as Python or R., And you can create stories, dashboards, and reports by using Tableau.
The list of advantages doesn’t end here. Tableau also has data cleaning options to enhance your data analytics. It is capable of handling vast amounts of data, which makes it suitable for large organizations.
Tableau is expensive, and it doesn’t have any versioning. Only those organizations that can pay its licensing cost can use Tableau, that’s why it’s suitable for large organizations. You’d find it challenging to import custom visualizations in Tableau.
Read: Tableau Interview Questions & Answers
What is Power BI?
Power BI is a data analytics tool businesses use to derive insights and perform analysis. Power BI takes data from multiple sources and converts them into BI reports as well as dashboards. You also get numerous software services and connectors. It provides you various features such as Ad Hoc reports that can help you in analyzing data.
Power BI uses Excel, Azure, and other Microsoft systems to create data visualizations. As a result, people who already use these Microsoft products would find it easier to work with this tool.
Power BI’s Features
Now that we’ve discussed a little about Power BI, let’s take a look at its most prominent features:
- You can author interactive reports in Power BI. Interactive reports are easier to understand and better to explain your findings.
- It has a wide range of data visualization and reporting tools.
- You can build customizable dashboards with Power BI.
- It has trend indicators included that simplify multiple tasks of data visualization.
- Power BI has an OLAP (Online Analytical Processing).
- It has an easy to use navigation pane along with help buttons and FAQ boxes so you can get rid of your doubts.
- You can share your created dashboards with your team members by using the content packs of Power BI.
Power BI provides its users with pre-built reports and dashboards for SaaS products. You also get a highly secure environment that you can deploy quickly. The most significant advantage is the real-time dashboard that empowers fast and effective problem-solving. It enables data exploration through natural language queries.
It employs machine learning and artificial intelligence, and you can use Python (or R) to use its visualizations. Power BI’s list of advantages and features is long as well. Its developers regularly add new features and functionalities.
However, Power BI isn’t capable of handling vast amounts of data. It doesn’t accept any file that’s larger than 1 GB in size. You can share the dashboards and reports with only those users who have the same email domain as you.
Read: 29 Most Commonly Power BI Interview Questions & Answers
Explore our Popular Data Science Online courses
Difference Between Tableau and Power BI
In this section of our Power BI vs Tableau discussion, we’ll now focus on the main areas where these two tools differ:
Setup and Interface
Tableau:
You can perform the initial setup of Tableau with their free trial. You’ll be able to use all features of this tool during the free trial phase. In your dashboard, you can find the list of all possible connections, from where you can start connecting with the data sources. After you’ve done that step, you can build a worksheet where you’ll create your visualizations. You can create your data visualizations in Tableau Desktop and share them with the team through Tableau Online or Tableau Server.
Power BI:
The basic setup of Power BI includes Azure tenant, which you connect to Power BI. To join the former with the latter, you’ll have to use the Office365 Admin interface. You can do this setup during the free trial, and you’ll have the option to keep the Azure tenant even after your trial is complete. The interface of Power BI is straightforward to use, and you can connect it to data sources and spreadsheets through APIs and built-in connections. Power BI has three forms available, service, mobile, and desktop. You can choose among these three (or use all of them) according to your role and requirements.
Top Data Science Skills to Learn to upskill
SL. No | Top Data Science Skills to Learn | |
1 |
Data Analysis Online Courses | Inferential Statistics Online Courses |
2 |
Hypothesis Testing Online Courses | Logistic Regression Online Courses |
3 |
Linear Regression Courses | Linear Algebra for Analysis Online Courses |
Cost
Tableau:
The cost of Tableau’s products is unique, but it’s higher than that of Power BI. They used to rely on a bulk purchase model but now they have shifted to a subscription model. Tableau’s pricing is divided into tiers according to your requirement of using it with third-party applications.
For example, if you have your data stored on spreadsheets and want to export it from a third party tool before Tableau, the pricing is understandable. On the other hand, if you connect Tableau directly with such third party apps (Hadoop, Marketo, etc.), then the cost increases substantially more, and you’ll need to upgrade your subscription.
Power BI:
Power BI costs less than Tableau. They have three options for users, a free version, a subscription-based version, and a costlier premium version that you can scale. Power BI has the advantage of being a Microsoft product. You wouldn’t have to pay directly to let Office365 get access to Power BI’s admin section, and you can just get a simple subscription for the same. Microsoft has kept Power BI quite affordable for those organizations that have been using Microsoft software before.
Also learn about: How to pick the right Tableau Product
Read our popular Data Science Articles
Connection
Tableau:
Tableau is excellent for connections and integrations. They have put in a lot of investment to allow smooth integrations with multiple prominent tools and software solutions. You can view the links available with your account when you log in. You’ll have to select what data you want to put into the tool when you make any connection. Due to this reason, it’d be better if you understood the data and the intention to pull it into your tool before making a connection.
Power BI:
Power BI comes with built-in dashboards that give you quick insights on many popular solutions, including the likes of Google Analytics and Salesforce. You also have the option to connect to the available services in your organization. Similarly, you can download files from those services as well and use them to create visualizations. You’ll have to use the ‘Get Data’ button to connect Power BI with any service. You’ll undergo an authorization check, and after that, you’ll get connected.
Dashboards
Tableau:
Tableau’s dashboard is filled with features, but some of them aren’t easily accessible as they hide behind the multiple menus. It gives you live query capability, which can help you considerably in performing data analysis. In most cases, data analysts have to stop all the work they were doing just to complete the query process.
Tableau’s interface contains a drag and drop function to ask questions. You can put the data types in the X and Y axes, and Tableau builds your visualization according to this input. The interface could seem a little confusing because it is neither based purely on query processes nor on drag and drop visualizations. Tableau is simple, but the confusing UX requires one to invest some time in getting accustomed to it.
Power BI:
Like we mentioned earlier, Power BI provides you with access to real-time data. This feature enables you to work in real-time and solve problems with high efficiency. The real-time access allows teams to react quickly to any changes that might happen to sales, project management, or CRM. As the industry is gearing more towards real-time SaaS products, Power BI easily gets ahead in this regard.
The dashboard of Power BI has many drag and drop functions that help you in speeding up the process. You don’t need to be a seasoned data expert to use the numerous data analytics operations available in Power BI. Its dashboard ensures that you can perform your tasks fast and smoothly.
Earn data science courses from the World’s top Universities. Join our Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
upGrad’s Exclusive Data Science Webinar for you –
Transformation & Opportunities in Analytics & Insights
Additional Differences
Tableau:
- Learning Tableau requires some effort, as it’s a little tricky.
- Tableau works best for large or medium-sized organizations.
- Tableau has terrific customer support. It also has a thriving community forum filled with other Tableau users.
- It deploys MDX for dimensions and measures.
- Tableau works perfectly when you have vast quantities of data.
- Tableau is primarily popular among analysts and experienced professionals.
- In Tableau, embedding reports is a little challenging.
Power BI:
- Power BI’s interface is easy and doesn’t take much effort to learn.
- It is excellent for the small, medium as well as large-sized organizations.
- Those who use the free version of Power BI get limited customer support. On the other hand, users of the paid version get fast and better customer support.
- Power BI employs DAX to measure and calculate columns.
- Power BI isn’t handy when you have vast quantities of data.
- Both new and experienced professionals use Power BI.
- In Power BI, embedding reports is an easy feat.
Power BI vs Tableau – The Verdict
Both of these tools have their pros and cons. The choice depends on your (and your organization’s) requirements. Tableau is suitable for large organizations, whereas Power BI is suitable for others. There are many other points of difference between these two.
If you are curious to learn about data science, check out IIIT-B & upGrad’s PG Diploma in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.
Frequently Asked Questions (FAQs)
1. Is coding necessary for Tableau?
Currently, Tableau is an industry-leading data visualization and business intelligence tool being used in a majority of organizations around the world. The reason behind its extensive use is its beautiful visualizations on the dashboards and quick & interactive interface.
The best thing about Tableau is that you don't require any coding skills for using it. Even a completely non-technical person can use Tableau for creating dashboards and create actionable insights from the available piles of data. The easy-to-use interface and no requirement of coding make it pretty easy and accessible for everyone out there.
If you are thinking about entering the field of business intelligence or data visualization, you don't need to worry about coding skills because Tableau allows you to make everything possible even without any knowledge of coding.
2. Is Tableau a good career option?
Career opportunities for Tableau are on a huge rise with everything moving towards automation. It is necessary to focus on data analysis for proper automation, and Tableau does this work for you. There is a huge demand for data scientists and professionals who are skilled with the use of Tableau in different sectors.
Tableau is considered a perfect career option if you are good with team skills, time management, possess decent managerial skills, and be good with problem-solving. The main job role of a Tableau developer is to analyze the data and create data visualizations on the dashboard.
The demand for Tableau developers is consistently increasing because there is a huge increment seen in the companies' amount of data being generated and collected. So, if you are thinking about building a career as a Tableau developer, then this is the right time.
3. Which is better – Power BI or Tableau?
Both Power BI and Tableau work on different ideologies and are used for different purposes. It is pretty much challenging to decide one from them because it will completely depend upon the requirements. By comparing both Power BI and Tableau based on the below parameters and comparing them with your requirements, you will find it easy to choose one.
1.Cost
2. Product support
3. Integration
4. Functionality
5. Deployment
6. Data visualization
7. User interface
If you take account of these parameters, you will be able to find the right tool to use for your business requirements.