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  5. Amazon Quicksight vs SQueaLy

Amazon Quicksight vs SQueaLy

OverviewComparisonAlternatives

Overview

Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5
SQueaLy
SQueaLy
Stacks0
Followers7
Votes0
GitHub Stars584
Forks47

Amazon Quicksight vs SQueaLy: What are the differences?

What is Amazon Quicksight? Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions. 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.

What is SQueaLy? Fast track analytics for business. SQueaLy is an open-source, self-deployable application for developers. It is a micro service for business intelligence and analytics which uses SQL queries to generate reporting APIs with fine-grained security.

Amazon Quicksight and SQueaLy belong to "Business Intelligence" category of the tech stack.

SQueaLy is an open source tool with 567 GitHub stars and 45 GitHub forks. Here's a link to SQueaLy's open source repository on GitHub.

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Detailed Comparison

Amazon Quicksight
Amazon Quicksight
SQueaLy
SQueaLy

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.

SQueaLy is an open-source, self-deployable application for developers. It is a micro service for business intelligence and analytics which uses SQL queries to generate reporting APIs with fine-grained security.

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
GitHub Stars
-
GitHub Stars
584
GitHub Forks
-
GitHub Forks
47
Stacks
207
Stacks
0
Followers
394
Followers
7
Votes
5
Votes
0
Pros & Cons
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
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
No community feedback yet
Integrations
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift
Heroku
Heroku
Amazon Athena
Amazon Athena
Amazon Redshift
Amazon Redshift
MySQL
MySQL
PostgreSQL
PostgreSQL
SQLite
SQLite
Swagger UI
Swagger UI

What are some alternatives to Amazon Quicksight, SQueaLy?

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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