Overview

Mode

Stacks126

Followers227

Votes17

Tableau

Stacks1.3K

Followers1.4K

Votes8

Mode vs Tableau: What are the differences?

Key Differences Between Mode and Tableau

Mode and Tableau are both powerful data analysis tools that are widely used in the industry. While they share some similarities, there are key differences that set them apart.

Data Visualization Capabilities: Tableau is known for its robust and intuitive data visualization capabilities. It offers a wide range of visualization options, including interactive dashboards, charts, and graphs. On the other hand, Mode provides basic data visualization features, but it may not have the same level of complexity and flexibility as Tableau.
Data Exploration and Discovery: Tableau provides a highly interactive and exploratory environment for data analysis. Its drag-and-drop interface allows users to easily explore and discover insights from their data. In contrast, Mode is primarily focused on SQL-based analysis and may not provide the same level of interactivity and ease of exploration as Tableau.
Collaboration and Sharing: Mode is designed with collaboration in mind. It provides features such as shared notebooks, comments, and collaboration tools to facilitate teamwork and knowledge sharing. Tableau, on the other hand, may have limited collaboration capabilities and may require additional tools or integrations to facilitate collaboration.
Advanced Analytics: Tableau has a strong focus on advanced analytics and data modeling. It provides advanced statistical functions, predictive analytics, and machine learning capabilities that enable users to perform complex data analysis tasks. Mode, on the other hand, may be more limited in its advanced analytics capabilities and may require additional tools or programming languages to perform complex analysis.
Data Sources: Tableau supports a wide range of data sources, including databases, spreadsheets, cloud services, and more. It offers built-in connectors and integrations with various data sources, making it easy to connect and analyze data from different sources. Mode, on the other hand, primarily relies on SQL for data analysis and may not have the same level of integration and connectivity options as Tableau.
Deployment Options: Tableau offers both cloud-based and on-premises deployment options, providing flexibility for organizations to choose the deployment model that best suits their needs. Mode, on the other hand, is primarily cloud-based and may not offer on-premises deployment options.

In summary, Tableau excels in data visualization, interactivity, and advanced analytics capabilities, while Mode focuses on SQL-based analysis and collaboration. The choice between the two depends on specific requirements and the level of complexity needed for data analysis tasks.

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Advice on Mode, Tableau

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	Tableau
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.	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.
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.	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.
Statistics
Stacks 126	Stacks 1.3K
Followers 227	Followers 1.4K
Votes 17	Votes 8
Pros & Cons
Pros 4 Empowering for SQL-first analysts 3 Collaborative query building 3 Easy report building 2 Awesome online and chat support 2 In-app customer chat support	Pros 6 Capable of visualising billions of rows 1 Intuitive and easy to learn 1 Responsive Cons 3 Very expensive for small companies
Integrations
Apache Hive Microsoft Azure Google BigQuery Apache Impala Amazon Redshift PostgreSQL Segment MySQL Microsoft SQL Server	No integrations available

What are some alternatives to Mode, Tableau?

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.

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.

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.