Software Alternatives, Accelerators & Startups

Plotly VS Domo

Compare Plotly VS Domo and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Domo logo Domo

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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Domo Landing page
    Landing page //
    2023-10-08

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Domo features and specs

  • Data Integration
    Domo supports integration with a vast array of data sources including databases, cloud services, spreadsheets, and more, allowing for seamless data consolidation.
  • Real-Time Data
    Domo provides real-time data processing and dashboard updates, ensuring users have access to the most current information for decision-making.
  • User-Friendly Interface
    Domo features an intuitive and easy-to-use interface, making it accessible even for non-technical users to create dashboards and reports.
  • Collaboration Tools
    Domo includes built-in collaboration tools, such as chat and notifications, which facilitate team communication and collaborative analysis.
  • Scalability
    Domo's cloud-based architecture ensures it can scale according to the size and needs of the business, managing large volumes of data efficiently.

Possible disadvantages of Domo

  • Cost
    Domo can be relatively expensive, especially for small businesses or startups with limited budgets, as it is priced based on data volume and user count.
  • Learning Curve
    Despite its user-friendly interface, some users may still find a steep learning curve when it comes to utilizing advanced features and functionalities.
  • Data Preparation
    Data preparation tools in Domo may not be as robust as some specialized ETL (Extract, Transform, Load) tools, sometimes requiring external preprocessing.
  • Customization Limitations
    While Domo offers a good degree of customization, certain advanced functionalities may still require custom development, which can be time-consuming.
  • Performance Issues
    Some users have reported performance issues, particularly with large datasets or complex queries, which can result in slower processing times.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Domo videos

Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

Category Popularity

0-100% (relative to Plotly and Domo)
Data Visualization
51 51%
49% 49
Data Dashboard
32 32%
68% 68
Business Intelligence
13 13%
87% 87
Charting Libraries
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Domo

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Domo Reviews

Explore 6 Metabase Alternatives for Data Visualization and Analysis
Domo is a robust BI tool known for its ease of use and powerful data aggregation capabilities. It allows users to effortlessly combine data from various sources, apply advanced formulas, and create comprehensive views for accurate analysis.
Source: www.draxlr.com
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Domo BI is a powerful business intelligence platform that transforms raw data into actionable insights. It offers flexible data experiences, diverse visualizations, and automated user management. User-friendly and browser-based, it connects to thousands of data sources with over 1000 connectors. Features like Magic ETL, data lineage tools, and Jupyter integration simplify...
Source: www.draxlr.com
5 best Looker alternatives
Domo: Domo is yet again a legacy data visualization tool with a vast set of data connectors to connect to. However, users often express concerns about its limited customer support and challenges in handling large datasets efficiently.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Domo: Domo is built for decision-makers who need real-time data access across various business operations. With strong mobile support and built-in connectors for multiple data sources, Domo offers versatile, on-the-go analytics.
25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Domo. While we know about 33 links to Plotly, we've tracked only 1 mention of Domo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 3 years ago

What are some alternatives?

When comparing Plotly and Domo, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Sisense - The BI & Dashboard Software to handle multiple, large data sets.