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  5. DOMO vs Metabase

DOMO vs Metabase

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Metabase
Metabase
Stacks926
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

DOMO vs Metabase: What are the differences?

# Introduction

1. **Data Source Integration**: DOMO offers a wider range of data source integrations compared to Metabase, including real-time sources like Twitter and Excel Online.
2. **Customization and Branding**: Metabase provides more customization options for the look and feel of dashboards and reports, allowing for greater branding opportunities.
3. **Cost**: Metabase has a free, open-source version available for small to medium-sized companies, while DOMO is a paid platform that may be more suitable for larger enterprises.
4. **Collaboration Features**: DOMO offers advanced collaboration features, such as real-time sharing and commenting on data, while Metabase is more focused on individual data exploration.
5. **Data Transformation**: Metabase provides basic data transformation capabilities, such as filters and aggregations, whereas DOMO offers more advanced ETL (extract, transform, load) functionalities.
6. **Security Features**: DOMO includes more robust security features, such as data encryption and access controls, compared to Metabase.

In Summary, DOMO and Metabase differ in terms of data source integrations, customization options, cost, collaboration features, data transformation capabilities, and security features.

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Detailed Comparison

DOMO
DOMO
Metabase
Metabase

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
52
Stacks
926
Followers
75
Followers
1.2K
Votes
0
Votes
271
Pros & Cons
No community feedback yet
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
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
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to DOMO, Metabase?

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.

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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