Revtap vs Superset
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | 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. |
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets; | Customer Analytics Report; AI-enabled
dashboard; One-click Shopify integration;
Google Analytics integration;
Facebook Ads integration;
Active Campaign integration |
Statistics | |
Stacks 420 | Stacks 1 |
Followers 1.0K | Followers 4 |
Votes 45 | Votes 4 |
Pros & Cons | |
Pros
Cons
| Pros
|
Integrations | |
| No integrations available | |
What are some alternatives to Superset, Revtap?
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.
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.
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.
