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  5. Amazon Quicksight vs DOMO

Amazon Quicksight vs DOMO

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs DOMO: What are the differences?

Key Differences between Amazon Quicksight and DOMO

1. Embedded Analytics Capabilities:

Amazon Quicksight provides powerful embedded analytics capabilities, allowing users to seamlessly embed interactive visualizations and dashboards into their applications or websites. On the other hand, DOMO also offers embedded analytics features, but they are not as robust and customizable as Quicksight's. Quicksight provides fine-grained control over the appearance and behavior of embedded analytics, making it a better choice for organizations looking to create a seamless user experience.

2. Data Source Integration:

Quicksight offers seamless integration with a wide range of data sources, including popular relational databases, data warehouses, and cloud storage services like Amazon Redshift, Amazon S3, and more. DOMO, on the other hand, supports a vast number of data sources but doesn't provide as extensive integration options as Quicksight. Quicksight's deep integration capabilities make it easier for organizations to connect, transform, and analyze data from multiple sources.

3. Machine Learning Capabilities:

Quicksight provides built-in machine learning capabilities, enabling users to leverage advanced ML algorithms to gain valuable insights from their data. These capabilities include anomaly detection, forecasting, natural language processing, and more. On the contrary, DOMO does not offer built-in machine learning capabilities, limiting the capacity of users to apply advanced ML techniques for data analysis and decision-making.

4. Pricing Model:

Amazon Quicksight follows a pay-per-session pricing model. Users are charged based on the number of sessions or the duration of each session, making it cost-effective for organizations that have sporadic or unpredictable usage patterns. In contrast, DOMO follows a subscription-based pricing model, which can be more expensive for organizations that have fluctuating or seasonal analytics needs.

5. Native Integration with Amazon Web Services (AWS):

As an Amazon product, Quicksight natively integrates with other Amazon Web Services (AWS) offerings such as AWS Identity and Access Management (IAM) for authentication and authorization, Amazon Redshift for data storage, and AWS Glue for data preparation. DOMO, on the other hand, does not have the same level of native integration with AWS services, making it less advantageous for organizations already heavily invested in the AWS ecosystem.

6. Customization and Extensibility:

Quicksight offers a high degree of customization and extensibility, allowing users to create tailored dashboards and visualizations by leveraging its rich set of APIs and SDKs. DOMO also provides customization options, but they are not as extensive as Quicksight's. Quicksight's flexibility empowers organizations to create highly customized analytics solutions that align with their specific needs and branding.

In summary, Amazon Quicksight offers superior embedded analytics capabilities, extensive integration options, built-in machine learning capabilities, a flexible pricing model, native integration with AWS services, and advanced customization and extensibility compared to DOMO.

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Detailed Comparison

DOMO
DOMO
Amazon Quicksight
Amazon Quicksight

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.

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.

-
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
52
Stacks
207
Followers
75
Followers
394
Votes
0
Votes
5
Pros & Cons
No community feedback yet
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
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
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
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to DOMO, 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.

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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