Databox vs Power BI

Overview

Power BI

Stacks994

Followers946

Votes29

Databox

Stacks30

Followers33

Votes0

Databox vs Power BI: What are the differences?

Data Visualization: Databox primarily focuses on real-time data visualization, providing users with up-to-date insights and analytics on key performance indicators. On the other hand, Power BI offers a more comprehensive range of data visualization options including charts, graphs, maps, and custom visuals, allowing for more in-depth analysis and reporting capabilities.
Data Sources: Databox allows users to connect to a variety of data sources such as Google Analytics, Salesforce, and MySQL databases, among others. Power BI, on the other hand, offers a wider range of data connectors and integrations, including Excel files, SQL databases, Azure services, and cloud-based sources like Salesforce and Google Analytics.
Ease of Use: Databox is designed for simplicity and ease of use, providing a user-friendly interface that allows users to quickly create dashboards and reports without the need for extensive training. In comparison, Power BI offers a more robust set of features and customization options, making it a more powerful tool for advanced data analysis but with a steeper learning curve.
Collaboration Features: Databox offers collaborative features such as sharing dashboards and reports with team members, as well as the ability to set up alerts and notifications based on performance metrics. Power BI, on the other hand, provides advanced collaboration capabilities through integration with Microsoft Teams and SharePoint, enabling seamless sharing and collaboration for enterprise-level users.
Pricing Model: Databox offers a tiered pricing structure based on the number of data sources and users, making it a more cost-effective option for small to medium-sized businesses. Power BI, in contrast, offers a free version with limited features and data capacity, as well as premium subscriptions for more advanced functionality, making it suitable for larger organizations with complex data needs.
Customization Options: Databox provides users with a range of pre-built templates and widgets for quick dashboard creation, as well as the ability to customize colors, fonts, and layouts. Power BI offers extensive customization options, including custom visuals, themes, and DAX formulas for creating highly tailored reports and dashboards to meet specific business requirements.

In Summary, Databox is more focused on real-time data visualization with a user-friendly interface, while Power BI offers a wider range of data connectors, advanced features, and customization options at a higher price point.

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Advice on Power BI, Databox

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.

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Detailed Comparison

Power BI	Databox
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.	Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data	Metrics & KPIs; Dashboards; Reports; Benchmarks; Forecast; Goals; Performance Summaries; Notifications; Data Prep
Statistics
Stacks 994	Stacks 30
Followers 946	Followers 33
Votes 29	Votes 0
Pros & Cons
Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere	No community feedback yet
Integrations
Microsoft Excel	Google Search Console SEMrush Intercom Wistia ActiveCampaign Jira Harvest HubSpot SurveyMonkey Shopify

What are some alternatives to Power BI, Databox?

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.

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

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.

Related Comparisons

Databox vs Power BI: What are the differences?

Data Visualization: Databox primarily focuses on real-time data visualization, providing users with up-to-date insights and analytics on key performance indicators. On the other hand, Power BI offers a more comprehensive range of data visualization options including charts, graphs, maps, and custom visuals, allowing for more in-depth analysis and reporting capabilities.
Data Sources: Databox allows users to connect to a variety of data sources such as Google Analytics, Salesforce, and MySQL databases, among others. Power BI, on the other hand, offers a wider range of data connectors and integrations, including Excel files, SQL databases, Azure services, and cloud-based sources like Salesforce and Google Analytics.
Ease of Use: Databox is designed for simplicity and ease of use, providing a user-friendly interface that allows users to quickly create dashboards and reports without the need for extensive training. In comparison, Power BI offers a more robust set of features and customization options, making it a more powerful tool for advanced data analysis but with a steeper learning curve.
Collaboration Features: Databox offers collaborative features such as sharing dashboards and reports with team members, as well as the ability to set up alerts and notifications based on performance metrics. Power BI, on the other hand, provides advanced collaboration capabilities through integration with Microsoft Teams and SharePoint, enabling seamless sharing and collaboration for enterprise-level users.
Pricing Model: Databox offers a tiered pricing structure based on the number of data sources and users, making it a more cost-effective option for small to medium-sized businesses. Power BI, in contrast, offers a free version with limited features and data capacity, as well as premium subscriptions for more advanced functionality, making it suitable for larger organizations with complex data needs.
Customization Options: Databox provides users with a range of pre-built templates and widgets for quick dashboard creation, as well as the ability to customize colors, fonts, and layouts. Power BI offers extensive customization options, including custom visuals, themes, and DAX formulas for creating highly tailored reports and dashboards to meet specific business requirements.

Databox vs Power BI

Overview