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  5. Revtap vs Teradata Vantage

Revtap vs Teradata Vantage

OverviewComparisonAlternatives

Overview

Revtap
Revtap
Stacks1
Followers4
Votes4
Teradata Vantage
Teradata Vantage
Stacks22
Followers23
Votes0

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Detailed Comparison

Revtap
Revtap
Teradata Vantage
Teradata Vantage

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.

It is the cloud data analytics platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Leading the way with hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of your business.

Customer Analytics Report; AI-enabled dashboard; One-click Shopify integration; Google Analytics integration; Facebook Ads integration; Active Campaign integration
Hybrid cloud;Advanced analytics;Scalable;Cost-efficient;Data ingestion
Statistics
Stacks
1
Stacks
22
Followers
4
Followers
23
Votes
4
Votes
0
Pros & Cons
Pros
  • 1
    In-depth customer segments
  • 1
    Multiple product segments
  • 1
    Actionable marketing reports
  • 1
    Ecommerce checkout reports
No community feedback yet
Integrations
Google Analytics
Google Analytics
Shopify
Shopify
ActiveCampaign
ActiveCampaign
Facebook Ads
Facebook Ads
No integrations available

What are some alternatives to Revtap, Teradata Vantage?

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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