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  5. Amazon Quicksight vs Redash

Amazon Quicksight vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs Redash: What are the differences?

Key Differences between Amazon Quicksight and Redash

Amazon Quicksight and Redash are both data visualization tools that offer powerful features for organizations to analyze and present their data. However, there are several distinct differences between these platforms:

  1. Data Source Integration: Amazon Quicksight primarily works with data sources within the AWS ecosystem, such as Amazon S3, Redshift, and RDS. On the other hand, Redash supports a wide range of data sources, including databases, APIs, and cloud services, making it more versatile in integrating with various data platforms.

  2. Ease of Use and User Interface: Quicksight has a more user-friendly and visually appealing user interface, providing a seamless experience for creating and sharing visualizations. Redash, while still easy to use, has a more simplistic interface that focuses more on functionality rather than aesthetics.

  3. Collaboration and Sharing: Quicksight offers more advanced collaboration features, such as shared dashboards and scheduled email reports, allowing users to work together and distribute insights effectively. Redash also supports collaboration but lacks some of the advanced sharing options provided by Quicksight.

  4. Pricing and Deployment Options: Quicksight has various pricing tiers, including a free option, making it more accessible for small teams or individual users. Redash, on the other hand, is an open-source tool that can be hosted on-premise or in the cloud, providing more flexibility for organizations with specific deployment requirements.

  5. Data Manipulation and Transformation: While both tools allow basic data manipulation and transformation, Redash provides more advanced capabilities, such as query parameterization and custom queries, allowing users to have greater control over their data analysis process. Quicksight, on the other hand, is more focused on providing pre-built visualizations and dashboards.

  6. Data Governance and Security: Quicksight has several built-in security features, such as encryption at rest and data source permissions, ensuring data governance and compliance. Redash, being an open-source platform, might require additional configuration for the same level of security.

In summary, Amazon Quicksight is a more integrated and user-friendly solution within the AWS ecosystem, suitable for users who primarily work with AWS data sources. On the other hand, Redash offers more flexibility, advanced data manipulation capabilities, and deployment options for users who require a more versatile tool with a broader range of data sources.

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Detailed Comparison

Redash
Redash
Amazon Quicksight
Amazon Quicksight

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.

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks
338
Stacks
207
Followers
502
Followers
394
Votes
12
Votes
5
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    Memory Leaks
  • 1
    All results are loaded into RAM before displaying
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Only works in AWS environments (not GCP, Azure)
  • 1
    Very basic BI tool
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
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Redash, Amazon Quicksight?

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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