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  5. DOMO vs Insights

DOMO vs Insights

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Insights
Insights
Stacks5
Followers13
Votes0
GitHub Stars1.1K
Forks74

DOMO vs Insights: What are the differences?

Introduction: In the realm of data analysis and business intelligence tools, DOMO and Insights are two popular platforms that offer a range of features and capabilities. Understanding the key differences between DOMO and Insights can help businesses make informed decisions on which platform best suits their data analysis needs.

  1. User Interface: DOMO is known for its user-friendly and visually appealing interface that is easy to navigate, making it popular among users of all technical levels. On the other hand, Insights provides advanced customization options but might have a steeper learning curve for new users in comparison to DOMO.

  2. Data Connection Options: DOMO offers out-of-the-box connections to various data sources, making it seamless to integrate and analyze data from multiple platforms. In contrast, Insights might require more manual configuration and setup to connect to certain data sources, which can be a limitation for users looking for quick and easy data integration.

  3. Collaboration Features: DOMO emphasizes collaboration with features like real-time data sharing, commenting, and collaboration, facilitating teamwork and communication among users. Insights, on the other hand, might have fewer collaboration features and could be more focused on individual data analysis tasks.

  4. Data Visualization Capabilities: DOMO is well-known for its rich data visualization options, including interactive dashboards and customizable reports that make data analysis more engaging and insightful. Insights, while offering visualization capabilities, might not have the same level of flexibility and creativity in designing visualizations as DOMO.

  5. Scalability and Pricing Model: DOMO is generally considered more scalable for enterprise-level use, with pricing that can accommodate larger organizations with complex data analysis needs. Insights, on the other hand, might have limitations in scaling up for extensive data analysis tasks, and its pricing model could be less flexible for growing businesses.

  6. Integration with Third-party Tools: DOMO boasts a wide range of integrations with third-party tools and platforms, offering users the flexibility to connect with other software and services for a comprehensive data analysis ecosystem. Insights, while providing some integrations, might not have the same extensive list of third-party connections as DOMO.

In Summary, understanding the key differences between DOMO and Insights can help businesses choose the right data analysis platform based on their specific requirements in terms of usability, data integration, collaboration, visualization, scalability, and third-party integrations.

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Detailed Comparison

DOMO
DOMO
Insights
Insights

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.

Insights is a self-hosted "SQL-not-required" data analytics and business intelligence tool. Featuring linkable URLs, easy data exploration, automatic joins, graphs, exports, facets (pivots), pretty colors and a ridiculously permissive license (MIT).

Statistics
GitHub Stars
-
GitHub Stars
1.1K
GitHub Forks
-
GitHub Forks
74
Stacks
52
Stacks
5
Followers
75
Followers
13
Votes
0
Votes
0
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
Rails
Rails
Ruby
Ruby
SQLite
SQLite

What are some alternatives to DOMO, Insights?

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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