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  5. SQueaLy vs Superset

SQueaLy vs Superset

OverviewComparisonAlternatives

Overview

Superset
Superset
Stacks420
Followers1.0K
Votes45
SQueaLy
SQueaLy
Stacks0
Followers7
Votes0
GitHub Stars584
Forks47

SQueaLy vs Superset: What are the differences?

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; Superset: Data exploration and visualization platform, by Airbnb. 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.

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

SQueaLy and Superset are both open source tools. It seems that Superset with 25.1K GitHub stars and 4.83K forks on GitHub has more adoption than SQueaLy with 567 GitHub stars and 45 GitHub forks.

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Detailed Comparison

Superset
Superset
SQueaLy
SQueaLy

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.

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.

A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
-
Statistics
GitHub Stars
-
GitHub Stars
584
GitHub Forks
-
GitHub Forks
47
Stacks
420
Stacks
0
Followers
1.0K
Followers
7
Votes
45
Votes
0
Pros & Cons
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Wide SQL database support
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
No community feedback yet
Integrations
No integrations available
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 Superset, 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.

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.

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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