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  5. Qrvey Analytics vs Redash

Qrvey Analytics vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Qrvey Analytics
Qrvey Analytics
Stacks2
Followers4
Votes0

Qrvey Analytics vs Redash: What are the differences?

What is Qrvey Analytics? 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.

What is Redash? Easily query an existing database, share the dataset and visualize it in different ways. 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.

Qrvey Analytics and Redash can be categorized as "Business Intelligence" tools.

Some of the features offered by Qrvey Analytics are:

  • Data collection
  • Data transformation
  • Data visualization

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

  • Query Editor
  • Dashboards/Visualizations
  • Alerts

Redash is an open source tool with 17K GitHub stars and 2.88K GitHub forks. Here's a link to Redash's open source repository on GitHub.

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Detailed Comparison

Redash
Redash
Qrvey Analytics
Qrvey Analytics

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.

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.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
Data collection;Data transformation;Data visualization;Data automation; Machine learning:charts, reports, metrics and dashboards
Statistics
Stacks
338
Stacks
2
Followers
502
Followers
4
Votes
12
Votes
0
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack
No integrations available

What are some alternatives to Redash, 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.

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.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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