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  5. Databox vs Revtap

Databox vs Revtap

OverviewComparisonAlternatives

Overview

Databox
Databox
Stacks30
Followers33
Votes0
Revtap
Revtap
Stacks1
Followers4
Votes4

Databox vs Revtap: What are the differences?

Databox: Mobile Platform for Decision Makers. It is a KPI dashboard tells you when important things change in your business. Stay up to date with alerts, scorecards, and beautiful visualizations; Revtap: The Best Shopify Analytics App To Simplify Data. It is a Shopify and eCommerce analytics tool powered by artificial intelligence that helps online stores increase revenue with actionable business intelligence. The all-in-one intelligence platform brings data from all your marketing and analytics apps to one dashboard. It then uses eCommerce intelligence, backed by industry experts to convert your data into actionable reports - growth analytics, product analytics and customer analytics. Understand how well your products are performing, the top-selling products, the most profitable sales and who your customers are.

Databox and Revtap belong to "Business Intelligence" category of the tech stack.

Some of the features offered by Databox are:

  • API. Business Intelligence
  • Dashboard Creation
  • Data Filtering

On the other hand, Revtap provides the following key features:

  • Customer Analytics Report
  • AI-enabled dashboard
  • One-click Shopify integration

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Detailed Comparison

Databox
Databox
Revtap
Revtap

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.

It is a Shopify and eCommerce analytics tool powered by artificial intelligence that helps online stores increase revenue with actionable business intelligence. The all-in-one intelligence platform brings data from all your marketing and analytics apps to one dashboard. It then uses eCommerce intelligence, backed by industry experts to convert your data into actionable reports - growth analytics, product analytics and customer analytics. Understand how well your products are performing, the top-selling products, the most profitable sales and who your customers are.

Metrics & KPIs; Dashboards; Reports; Benchmarks; Forecast; Goals; Performance Summaries; Notifications; Data Prep
Customer Analytics Report; AI-enabled dashboard; One-click Shopify integration; Google Analytics integration; Facebook Ads integration; Active Campaign integration
Statistics
Stacks
30
Stacks
1
Followers
33
Followers
4
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 1
    In-depth customer segments
  • 1
    Multiple product segments
  • 1
    Actionable marketing reports
  • 1
    Ecommerce checkout reports
Integrations
Google Search Console
Google Search Console
SEMrush
SEMrush
Intercom
Intercom
Wistia
Wistia
ActiveCampaign
ActiveCampaign
Jira
Jira
Harvest
Harvest
HubSpot
HubSpot
SurveyMonkey
SurveyMonkey
Shopify
Shopify
Google Analytics
Google Analytics
Shopify
Shopify
ActiveCampaign
ActiveCampaign
Facebook Ads
Facebook Ads

What are some alternatives to Databox, Revtap?

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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