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  5. DashboardFox vs Tableau

DashboardFox vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8
DashboardFox
DashboardFox
Stacks1
Followers4
Votes0

DashboardFox vs Tableau: What are the differences?

<Write Introduction here>

1. **Pricing Model**: Tableau follows a traditional licensing model requiring per-user licenses and separate pricing tiers based on functionalities, while DashboardFox offers a simplified pricing model with unlimited users and no hidden fees.
2. **Data Source Connectivity**: DashboardFox provides built-in connectors to a variety of data sources including SQL databases, cloud storage, and web services, whereas Tableau offers a wide range of connectors but may require additional configurations for certain sources.
3. **Ease of Use**: DashboardFox focuses on user-friendly design and simplicity, making it easy for non-technical users to create insightful visualizations, while Tableau offers more advanced features and customization options suited for data experts.
4. **Performance**: DashboardFox is optimized for fast loading times and minimal latency even with large datasets, enabling responsive dashboard performance, whereas Tableau may experience slower performance with complex visualizations and extensive data processing.
5. **Customization Capabilities**: Tableau provides extensive customization options for visualizations and dashboards, allowing users to create highly tailored reports with intricate designs, in contrast, DashboardFox offers a more straightforward customization process with predefined templates and themes.
6. **Deployment Options**: Tableau offers both on-premises and cloud-based deployment options, giving users flexibility in choosing the deployment that suits their needs, while DashboardFox focuses on cloud deployment for seamless accessibility and automatic updates.

In Summary, DashboardFox offers a simplified pricing model, user-friendly design, and optimized performance compared to Tableau, with a focus on seamless cloud deployment and straightforward customization capabilities.

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Advice on Tableau, DashboardFox

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
DashboardFox
DashboardFox

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.

Self-hosted business intelligence (BI) platform that provides real-time queries from one or more databases, interactive dashboards, shared team folders of reports and dashboards, codeless report building, dynamic data-level security, anonymous and public view report options, live sharing links, and embeddable reports and dashboards.

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.
Codeless SQL querying; Dynamic data security; Drill-down dashboards and reports; scheduled email delivery; Embed and direct share links; Dashboard filters and views; Data visualization; Ad-hoc dataset prep; Mobile and Tablet access
Statistics
Stacks
1.3K
Stacks
1
Followers
1.4K
Followers
4
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
MySQL
MySQL
PostgreSQL
PostgreSQL
Amazon RDS
Amazon RDS
Amazon Redshift
Amazon Redshift
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server
Azure SQL Database
Azure SQL Database
Microsoft Excel
Microsoft Excel
Microsoft Access
Microsoft Access
Rackspace Cloud Database
Rackspace Cloud Database

What are some alternatives to Tableau, DashboardFox?

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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