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  5. DOMO vs Superset

DOMO vs Superset

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Superset
Superset
Stacks420
Followers1.0K
Votes45

DOMO vs Superset: What are the differences?

  1. Data Visualization Capabilities: DOMO is a cloud-based business intelligence platform that offers robust data visualization tools with interactive dashboards and real-time data insights. On the other hand, Superset is an open-source data exploration and visualization platform that provides a wide range of visualizations but might require more customization for specific needs.

  2. Data Source Connectivity: DOMO provides seamless integration with various data sources, including cloud services, databases, and spreadsheets, making it easier to consolidate data from multiple sources. In contrast, Superset supports a diverse set of data sources but might require more configuration and setup for data connectivity.

  3. Collaboration and Sharing Features: DOMO offers extensive collaboration features, allowing users to share insights, reports, and dashboards with team members securely. Superset, while providing sharing capabilities, might require additional configurations for collaborative work within the platform.

  4. Ease of Use and User Interface: DOMO is known for its user-friendly interface and intuitive design, making it easier for non-technical users to create visualizations and reports. Superset, although feature-rich, may have a steeper learning curve due to its more complex interface and navigation.

  5. Cost and Licensing Structure: DOMO is a paid platform with subscription-based pricing, catering to enterprise-level clients with a focus on data security and support. In contrast, Superset is open-source and free to use, making it a cost-effective option for organizations looking for a customizable solution without additional licensing fees.

In Summary, DOMO offers a more user-friendly and integrated business intelligence solution with a focus on data visualization and collaboration, while Superset provides a customizable and cost-effective open-source platform suitable for organizations with technical expertise and specific data visualization requirements.

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Detailed Comparison

DOMO
DOMO
Superset
Superset

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

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.

-
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
Stacks
52
Stacks
420
Followers
75
Followers
1.0K
Votes
0
Votes
45
Pros & Cons
No community feedback yet
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
Integrations
Box
Box
Loggly
Loggly
Basecamp
Basecamp
HipChat
HipChat
Asana
Asana
Google BigQuery
Google BigQuery
Amazon Redshift
Amazon Redshift
Mailchimp
Mailchimp
HubSpot
HubSpot
GitHub
GitHub
No integrations available

What are some alternatives to DOMO, Superset?

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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