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  5. Amazon Quicksight vs Superset

Amazon Quicksight vs Superset

OverviewComparisonAlternatives

Overview

Superset
Superset
Stacks420
Followers1.0K
Votes45
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs Superset: What are the differences?

Key Differences between Amazon Quicksight and Superset

1. Data Source Connectivity: Amazon Quicksight offers seamless integration with popular data sources like Amazon S3, Redshift, RDS, and more. It also provides native connectors for various external data sources. On the other hand, Superset supports connectivity to a wide range of databases using SQLAlchemy, which requires manual configuration for each data source.

2. Ease of Use and User Interface: Quicksight provides a visually appealing and user-friendly interface, with a drag-and-drop dashboard builder and interactive visuals. Superset has a more complex user interface, requiring technical expertise to navigate and customize dashboards effectively.

3. Cost and Licensing: Quicksight has a usage-based pricing model, where users only pay for the data analyzed and the number of active users. Superset, on the other hand, is an open-source platform that is free to use, allowing users to save on licensing costs.

4. Advanced Analytics Capabilities: Quicksight offers advanced analytics features like anomaly detection, forecasting, and SPICE (Super-fast Parallel In-memory Calculation Engine) for faster query performance. Superset lacks some of these advanced analytical functionalities, focusing primarily on data visualization and exploration.

5. Data Governance and Security: Quicksight provides robust data governance and security features, including encryption, access control, and integration with AWS Identity and Access Management (IAM). Superset lacks some of these enterprise-level security measures and may require additional configuration for proper data governance.

6. Scalability and Performance: Quicksight leverages Amazon's cloud infrastructure for high scalability and performance, allowing users to handle massive data sets and accommodate large user bases. Superset's performance and scalability depend on the underlying infrastructure and the resources allocated to it, which may be limited in comparison.

In Summary, Amazon Quicksight offers greater data source connectivity, a more user-friendly interface, advanced analytics capabilities, enhanced security and scalability, but comes with a cost. On the other hand, Superset is open-source, lacks some advanced features, and requires manual configuration for data sources and security, but provides cost savings and flexibility.

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Detailed Comparison

Superset
Superset
Amazon Quicksight
Amazon Quicksight

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.

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.

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;
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
420
Stacks
207
Followers
1.0K
Followers
394
Votes
45
Votes
5
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
    Ugly GUI
  • 3
    It is difficult to install on the server
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
No integrations available
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Superset, 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.

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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