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  5. DOMO vs Redash

DOMO vs Redash

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Redash
Redash
Stacks338
Followers502
Votes12

DOMO vs Redash: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between DOMO and Redash for a website.

  1. User Interface and Ease of Use: DOMO offers a more user-friendly interface with drag-and-drop capabilities, making it easier for users with little technical knowledge to create and customize visualizations. On the other hand, Redash has a more technical interface that may require some coding knowledge to fully utilize, making it better suited for users with a technical background.

  2. Data Source Integration: DOMO provides seamless integration with various data sources, offering a wide range of connectors for popular databases and APIs. Redash, on the other hand, has fewer out-of-the-box connectors and might require additional setup or development for integration with certain data sources.

  3. Customization and Extensibility: DOMO allows for extensive customization through its Appstore, which offers a wide range of pre-built apps and integrations to extend functionality. Redash, on the other hand, offers more limited customization options out of the box and may require more development effort to extend its capabilities.

  4. Pricing Model: DOMO typically follows a subscription-based pricing model, which can be costly for small to medium-sized businesses. Redash, on the other hand, is open-source and free to use, making it a more cost-effective option for organizations on a budget.

  5. Collaboration and Sharing: DOMO provides robust collaboration features, allowing multiple users to work on and share dashboards in real-time. Redash, on the other hand, may have limitations in terms of real-time collaboration and sharing capabilities, making it less suitable for teams that require constant collaboration.

  6. Security and Access Control: DOMO offers advanced security features such as data encryption, role-based access control, and audit trails to ensure data privacy and compliance. Redash, while still providing basic security measures, may not offer the same level of data protection and access control as DOMO.

In Summary, DOMO is more user-friendly and offers better integration options, while Redash is more cost-effective and customizable for technical users.

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Detailed Comparison

DOMO
DOMO
Redash
Redash

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.

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.

-
Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
Statistics
Stacks
52
Stacks
338
Followers
75
Followers
502
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
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
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack

What are some alternatives to DOMO, Redash?

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.

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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