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  5. Explore vs Qrvey Analytics

Explore vs Qrvey Analytics

OverviewComparisonAlternatives

Overview

Explore
Explore
Stacks15
Followers45
Votes0
Qrvey Analytics
Qrvey Analytics
Stacks2
Followers4
Votes0

Qrvey Analytics vs Explore: What are the differences?

Developers describe Qrvey Analytics as "All-in-One Business Analytics Platform". It makes analytics on AWS easy with an all-in-one platform that includes data collection, transformation, analysis, visualizations, automation and machine learning. It's perfect for distributed and embedded use cases for the enterprise and software companies. On the other hand, Explore is detailed as "Free chart maker & visual exploration for spreadsheet data". It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

Qrvey Analytics and Explore belong to "Business Intelligence" category of the tech stack.

Some of the features offered by Qrvey Analytics are:

  • Data collection
  • Data transformation
  • Data visualization

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

  • Free online chart maker
  • Visual data exploration tool for all your spreadsheet data
  • Runs locally in your browser

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Detailed Comparison

Explore
Explore
Qrvey Analytics
Qrvey Analytics

It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

It makes analytics on AWS easy with an all-in-one platform that includes data collection, transformation, analysis, visualizations, automation and machine learning. It's perfect for distributed and embedded use cases for the enterprise and software companies.

Free online chart maker; Visual data exploration tool for all your spreadsheet data; Runs locally in your browser
Data collection;Data transformation;Data visualization;Data automation; Machine learning:charts, reports, metrics and dashboards
Statistics
Stacks
15
Stacks
2
Followers
45
Followers
4
Votes
0
Votes
0
Integrations
Google Sheets
Google Sheets
Microsoft Excel
Microsoft Excel
No integrations available

What are some alternatives to Explore, Qrvey Analytics?

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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