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  5. Power BI Embedded vs Tableau

Power BI Embedded vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8
Power BI Embedded
Power BI Embedded
Stacks65
Followers147
Votes0

Power BI Embedded vs Tableau: What are the differences?

Introduction

This markdown code compares Power BI Embedded and Tableau based on their key differences.

  1. Data Source Connectivity: Power BI Embedded offers limited data source connectivity options compared to Tableau. While Power BI Embedded supports various data sources, including Azure SQL Database, Azure SQL Data Warehouse, and Azure Analysis Services, Tableau provides extensive connectivity options, including relational databases, cloud data sources, and big data sources.

  2. Scalability: Power BI Embedded is designed for scalable cloud-based deployments, making it suitable for large-scale enterprise solutions. On the other hand, Tableau is not specifically designed for scalability and may face limitations in handling large datasets or high user concurrency.

  3. Visualization Features: Tableau has a broader set of visualization options and capabilities compared to Power BI Embedded. Tableau offers advanced features like custom visualizations, storytelling, geographic mapping, and more. Power BI Embedded presents a more streamlined set of visualization features, suitable for most standard reporting and dashboarding needs.

  4. Embedding Capabilities: Power BI Embedded is primarily focused on embedding reports and dashboards within external applications, whereas Tableau provides more comprehensive embedding capabilities, including embedded analytics, data-driven applications, and interactive visualizations. This makes Tableau a better choice for developing highly customized solutions or applications.

  5. Pricing Model: Power BI Embedded has a consumption-based pricing model, allowing users to pay for actual usage. On the other hand, Tableau follows a per-user licensing model, where the cost increases with the number of users accessing the platform. This makes Power BI Embedded more cost-effective for scenarios with fluctuating or unpredictable user loads.

  6. Deployment Options: Power BI Embedded is tightly integrated with Microsoft Azure, offering seamless deployment in Azure cloud environments. Tableau, on the other hand, provides more flexible deployment options, including cloud, on-premises, and hybrid deployments. This flexibility allows organizations to choose the deployment model that best suits their requirements.

In Summary, Power BI Embedded provides limited data source connectivity, enhanced scalability, streamlined visualization features, and focuses on embedded reporting, whereas Tableau offers broader data source connectivity, more comprehensive visualization options, and versatile embedding capabilities, with a per-user licensing model. Depending on specific requirements, organizations can choose between the two based on factors such as scalability, flexibility, customization needs, and cost considerations.

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Advice on Tableau, Power BI Embedded

Vojtech
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
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
Tableau
Power BI Embedded
Power BI Embedded

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.

Quickly and easily provide customer-facing reports, dashboards, and analytics in your own applications by using and branding it as your own. Reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.

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.
API;SDK;Reports;Dashboards
Statistics
Stacks
1.3K
Stacks
65
Followers
1.4K
Followers
147
Votes
8
Votes
0
Pros & Cons
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Responsive
  • 1
    Intuitive and easy to learn
Cons
  • 3
    Very expensive for small companies
No community feedback yet
Integrations
No integrations available
JavaScript
JavaScript
Microsoft SharePoint
Microsoft SharePoint

What are some alternatives to Tableau, Power BI Embedded?

Metabase

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

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

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

Power BI

Power BI

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.

Mode

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

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

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

Shiny

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

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

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.

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