DOMO vs Power BI Comparison | StackShare

Overview

DOMO

Stacks52

Followers75

Votes0

Power BI

Stacks953

Followers945

Votes29

DOMO vs Power BI: What are the differences?

DOMO and Power BI are both powerful business intelligence (BI) tools used for data visualization and analysis. They provide features to help businesses make data-driven decisions and gain insights from their data. Below are the key differences between DOMO and Power BI:

Data Source Connectivity: DOMO offers a wide range of native data connectors, making it easy to connect to various data sources, including cloud-based and on-premises databases, spreadsheets, and web services. It also supports custom connectors for integrating with proprietary systems. On the other hand, Power BI is part of the Microsoft ecosystem and is optimized for seamless integration with other Microsoft products like Excel, SharePoint, and Azure services. While it also supports a diverse set of data connectors, it may require additional configurations for non-Microsoft data sources.
User Interface and Ease of Use: DOMO is known for its intuitive and user-friendly interface, designed to cater to business users without extensive technical knowledge. Its drag-and-drop interface allows users to create interactive dashboards and reports without writing code. Power BI, being a Microsoft product, provides a familiar interface for users already accustomed to other Microsoft tools. While it offers a robust set of features, creating complex visualizations may require more technical expertise than DOMO's straightforward approach.
Scalability and Performance: DOMO is a cloud-native BI platform that can handle large-scale data and complex queries. It leverages cloud infrastructure to ensure high scalability and performance for processing and analyzing vast datasets. Power BI is available both as a cloud-based service (Power BI online) and an on-premises solution (Power BI Report Server). While it can handle substantial data volumes, the performance may vary depending on the deployment choice and hardware infrastructure.
Pricing and Licensing: DOMO typically follows a subscription-based pricing model, and its cost may vary based on the number of users and data storage requirements. Power BI offers multiple pricing tiers, including a free version with limited features, making it accessible to individual users and small businesses. The licensing options for Power BI also include user-based licensing or capacity-based licensing for organizations with specific requirements.

In summary, DOMO is renowned for its user-friendly interface and seamless data connectivity, making it an excellent choice for business users seeking quick and easy data visualization and analysis. Power BI, as part of the Microsoft ecosystem, excels in integration with Microsoft products and offers various deployment options, making it a strong choice for organizations already invested in the Microsoft ecosystem or requiring more advanced analytical capabilities.

Advice on DOMO, Power BI

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Comments

Detailed Comparison

DOMO	Power BI
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 aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
-	Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
Stacks 52	Stacks 953
Followers 75	Followers 945
Votes 0	Votes 29
Pros & Cons
No community feedback yet	Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere
Integrations
Box Loggly Basecamp HipChat Asana Google BigQuery Amazon Redshift Mailchimp HubSpot GitHub	Microsoft Excel

What are some alternatives to DOMO, Power BI?

Metabase

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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: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

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

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 is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

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 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

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.