Mode vs Power BI

Overview

Mode

Stacks125

Followers227

Votes17

Power BI

Stacks994

Followers946

Votes29

Mode vs Power BI: What are the differences?

Introduction Mode and Power BI are both powerful tools used for data visualization and analysis. While they serve similar purposes, there are key differences between the two.

Data Sources: Mode allows users to connect to various data sources such as SQL databases, CSV files, and more. On the other hand, Power BI offers a wide range of connectors, including cloud services like Azure and Google Analytics, making it easier to access and analyze data from different platforms.
Deployment Options: Mode is primarily a web-based tool, meaning users can access it through a web browser. Power BI, on the other hand, provides both cloud-based and on-premises deployment options. This gives users more flexibility in choosing how to host and access their data visualizations.
Collaboration and Sharing: Mode focuses heavily on collaboration, allowing users to share reports, queries, and dashboards with team members and clients. Power BI also offers collaboration features, but they are more focused on sharing visualizations and reports within organizations, making it an excellent choice for businesses.
Data Modeling and Preparation: Power BI provides robust data modeling capabilities, enabling users to transform, clean, and prepare their data before visualizing it. Mode, however, does not offer extensive data preparation tools, as its main focus is on querying and analysis. Users may need to clean and prepare their data outside of Mode before importing it for analysis.
Cost Structure: Mode offers a straightforward pricing model, with a single monthly fee based on the number of users. Power BI, on the other hand, offers several pricing options, including a free version, pro version, and premium version with different features and capabilities. This allows organizations to choose a pricing plan that best suits their needs and budget.
Ease of Use: Mode is known for its simplicity and ease of use, making it suitable for users with minimal technical skills. Power BI, on the other hand, offers a more comprehensive range of features and customization options, making it better suited for users who require advanced analytics capabilities.

In summary, Mode and Power BI differ in terms of data sources, deployment options, collaboration and sharing features, data modeling and preparation capabilities, cost structure, and ease of use. Choosing the right tool depends on your specific requirements for data analysis and visualization.

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Advice on Mode, 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

Mode	Power BI
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.	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.
Write, save, and share SQL queries with other analysts in your company; Empower non-technical folks to update queries on their own; Run queries on a schedule, create lists of related reports, and explore a project's history as it changes over time; Build reports using standard charting or create completely customer, interactive visuals with HTML, CSS, and Javascript;Database connectors for MySQL, Postgres, Redshift, Vertica, Hive, Heroku, Segment, BigQuery, Impala; Mode also offers SQL School (sqlschool.modeanalytics.com), a free, interactive SQL tutorial and the Mode Playbook.	Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
Stacks 125	Stacks 994
Followers 227	Followers 946
Votes 17	Votes 29
Pros & Cons
Pros 4 Empowering for SQL-first analysts 3 Collaborative query building 3 Easy report building 2 Integrated IDE with SQL + Python for analysis 2 Awesome online and chat support	Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere
Integrations
Apache Hive Microsoft Azure Google BigQuery Apache Impala Amazon Redshift PostgreSQL Segment MySQL Microsoft SQL Server	Microsoft Excel

What are some alternatives to Mode, 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.

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

Mode vs Power BI: What are the differences?

Introduction Mode and Power BI are both powerful tools used for data visualization and analysis. While they serve similar purposes, there are key differences between the two.

Data Sources: Mode allows users to connect to various data sources such as SQL databases, CSV files, and more. On the other hand, Power BI offers a wide range of connectors, including cloud services like Azure and Google Analytics, making it easier to access and analyze data from different platforms.
Deployment Options: Mode is primarily a web-based tool, meaning users can access it through a web browser. Power BI, on the other hand, provides both cloud-based and on-premises deployment options. This gives users more flexibility in choosing how to host and access their data visualizations.
Collaboration and Sharing: Mode focuses heavily on collaboration, allowing users to share reports, queries, and dashboards with team members and clients. Power BI also offers collaboration features, but they are more focused on sharing visualizations and reports within organizations, making it an excellent choice for businesses.
Data Modeling and Preparation: Power BI provides robust data modeling capabilities, enabling users to transform, clean, and prepare their data before visualizing it. Mode, however, does not offer extensive data preparation tools, as its main focus is on querying and analysis. Users may need to clean and prepare their data outside of Mode before importing it for analysis.
Cost Structure: Mode offers a straightforward pricing model, with a single monthly fee based on the number of users. Power BI, on the other hand, offers several pricing options, including a free version, pro version, and premium version with different features and capabilities. This allows organizations to choose a pricing plan that best suits their needs and budget.
Ease of Use: Mode is known for its simplicity and ease of use, making it suitable for users with minimal technical skills. Power BI, on the other hand, offers a more comprehensive range of features and customization options, making it better suited for users who require advanced analytics capabilities.

Mode vs Power BI

Overview