Power BI is a business analytics tool used to analyze business data and derive insights, while Tableau is a business intelligence and data visualization tool used to generate flexible reports and visualizations. Tableau typically handles larger data volumes faster than Power BI and has a larger community/support network, but Power BI is easier for less technical users and integrates better with other Microsoft products. Both tools have cloud-based and on-premise deployment options, with Tableau supporting more platforms, while Power BI is limited to Azure in the cloud.

1. Tableau VS Power BI

2. Power BI is the business data analytics tool to analyze
the nosiness and derive insights from it.
Tableau is the business intelligence and data analytics
tool for generating reports and data visualization with
high flexibility.

3. • Power BI Pro : $9.99
• Power BI Premium
Per user/month - $20
Per capacity/month- $4,995
Power BI
• Tableau Creator : $70
• Tableau Explorer: $42
• Tableau Viewer: $15
Tableau

4. 1.-File Group: Excel, CSV, XML, Text, JSON, Folder
2.-Database group: SQL Server, Access, SQL Server Analysis Service,
Oracle, IBM DB2, MySQL, PostgreSQL, Sybase, Teradata, SAP HANA
3.-Azure group: Microsoft Azure SQL Database, MS Azure Marketplace,
MS Azure HDInsight, Blob storage, MS Azure Table Storage, Azure HD
Insight Spark, MS Azure Document DB, MS Azure Data Lake Storage
4.Other: The Internet, SharePoint list, OData Channel, Hadoop file,
Active directory, MS ExChange, Dynamics CRM online, Google
Analytics, Salesforce objects, Salesforce report, ODBC, R-script,
appFigures, Github, MailChimp, Marketo, QuickBooks Online,
SmartSheets, SQL Sentry, Stripe, SweetIQ, Twilio, Zendesk, Spark, Blank
request.
-Ranging from on-premises files, spreadsheets, relational databases, non-
relational databases, data warehouses, big data, to on-cloud data are all
available. Tableau also supports different kinds of data connectors such
as Presto, MemSQL, google Analytics, Google Sheets, Cloudera, Hadoop,
Amazon Athena, Salesforce, SQL Server, And Dropbox.
Data
Sources

5. Tableau: Data owners can create and manage VConns to exercise more flexible control over
the data. You can make visualization as basic as a: Bar chart, Pie chart, as an Advanced as a:
Histogram, Gantt chart, Bullet chart, Motion chart, Treemap, Boxplot.
Power BI : All visualizations can be added to Power BI reports, specified in Q&A, and pinned dashboard.
Area charts (layered and Stacked, Bar and column charts, Cards, Combo charts, Decomposition tree,
Doughnut charts, Funnel charts, Gauge charts, Key influences chart, KPIs, Line charts, Maps, Matrix, Pie
charts, Power Apps visual, Q&A visual, R script visuals, Ribbon chart, Scatter, Slicers, Smart narrative,
Standalone images, Tables, Treemaps, Waterfall charts.

6. Ease of Use
/
Interface
Power BI is easier to use for newer users
and non-technical audience.
Users highlight the ease of creating
reports.
Power BI is easy to use. It is faster and
performs better when the volume of data
is limited. Power BI tends to drag slowly
while handling bulk data.
The user interface of Power BI is intuitive,
and it can easily be integrated with other
Microsoft products. Power BI interface is
easy to learn and understand. It is user
friendly and allows you to operate better.
Power BI Desktop provides three views
that you can select on the left side of the
canvas - the report view, the data view,
and the model view.
Tableau has the edge with data analysts and those
who have technical knowledge. Tableau has a
steeper learning curve.
Most users highlight that with tableau it is easy to
create data visualization.
Tableau can handle large volumes of data
quickly. It is faster and provides extensive
features for visualizing the data. Tableau doesn't
limit the number of data points in visualization or
enforce row or size limitations, giving you a 360-
degree view of your data.
Tableau has an intelligent interface that
enables you to create and customize the
dashboards according to your
requirements. It has an inviting
workspace area that encourages you to
experiment with data and get smart
results. The workspace area has
different cards and shelves, toolbar,
sidebar, data source page, status bar,
and sheet tabs.

7. Customer Support
Power Bl provides limited customer
support to its users with a free Power Bl
account. However, the paid version users
will get faster support compared with the
free version.
Power BI is relatively new compared to
Tableau. So, its user community is smaller
than Tableau
Tableau has excellent customer support. It has a
large community forum for discussions.
Tableau has an active community of more than
220,000 users from the data science world.
There’s a large community forum and over 500
global user groups.
Tableau hosts conferences around the world as
well as virtual events like the Tableau Live
discussion panels.

8. Tableau
Number functions
String functions
Date functions
Logical functions
Aggregate functions
User functions
Table calculations
Pass-Through functions (RAWSQL)
Spatial functions
Additional functions (Regular Expressions, Hadoop Hive Specific
Functions, Google BigQuery Specific Functions).
Power BI
DAX is a collection of functions, operators, and constants that can be
used in a formula, or expression, to calculate and return one or more
values. Easy to create a new Power BI file and import some data into
it.
Functions

9. Products
Tableau products
Tableau Desktop
Tableau Desktop Personal
Tableau Desktop Professional
Tableau Public
Tableau Server
Tableau Online
Tableau Reader
Power Bi products
Power BI Desktop
Power BI Pro
Power BI Premium
Power BI Mobile
Power BI Embedded
Power BI Report Server

10. Deployment Power BI Tableau
On Cloud Yes Yes
On-premise Yes Yes
On Linux No Yes
On Mac No Yes
On Windows Yes Yes
Power BI:
Even though Power BI has both on-premises and cloud versions, it is limited to Azure in the
cloud. This limits the level of flexibility that Power BI can offer.
Power BI comes in several forms: desktop, pro, premium, mobile, embedded, and report server.
The most basic setup is an Azure tenant (which you can keep even after your trial is over) that
you connect to your Power BI through an Office365 Admin interface. Power BI is fairly easy to
use, and you can quickly connect existing spreadsheets, data sources, and apps via built-in
connections and APIs.
Tableau:
Tableau has more cloud-based and on-premises options. When huge data is stored
in the cloud, Tableau works well.
Easy deployment is one of the key considerations when it comes to Microsoft
Power BI vs Tableau comparison. Here is the interesting part. Tableau allows you
to run it on your existing infrastructure be it Linux, Windows, Public Cloud or on-
premise whereas with Power BI you are required to migrate to Azure. This might
cause inconvenience to companies that use other services such as GCP or AWS. If
you want to deploy Power BI on-premise, you’d need Data Gateways which
function as a link between Power BI service and on-premise data sources.
Deployment

11. Disadvantages
o High performance. It is very fast and easy to create visualizations.
o Tableau can handle a huge volume of data with better performance.
o Excellent customer support
o Capability to connect to numerous data sources (such as Hadoop, DB technologies, SAP, and Google
BigQuery, which improves the quality of data analysis)
o Tableau uses languages such as Python and R for complex table calculations and avoids any
performance drop.
o Active community and forum
o Mobile-friendliness
o High cost
o It is complicated to embed reports to other applications
o Steep learning curve. It requires to get proper training in data analysis and acquire decent skills in R
and Python programming.
o It is difficult to integrate with products such as Dynamics 365, Microsoft Flow, and Office 365
because of the single sign-on process.
Advantages
Tableau

12. Disadvantages
o Provides a cloud based as well as a desktop interface,
capability like data warehousing, data discovery and
interactive dashboards. Ability to load custom visualizations.
o Does not provide data cleansing solutions, Limited sharing of
Data, does not handle large data sources properly, Bulky User
interface.
Advantages
Power BI