Software Alternatives, Accelerators & Startups

Plotly VS Zoho Analytics

Compare Plotly VS Zoho Analytics and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Zoho Analytics logo Zoho Analytics

Zoho Analytics is a self-service BI, reporting and analytics software which helps you create dashboards and analyze data. Sign up free.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Zoho Analytics Landing page
    Landing page //
    2023-10-11

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.

Zoho Analytics features and specs

  • Comprehensive data integration
    Zoho Analytics supports integration with a wide variety of data sources including cloud storage, databases, and other Zoho applications, making it easier to pull in data from different places.
  • Self-service BI and ease of use
    It offers a user-friendly interface with drag-and-drop functionalities, allowing even non-technical users to create, modify, and share reports and dashboards effortlessly.
  • Customizable dashboards
    Zoho Analytics provides highly customizable dashboards which can be tailored to fit the specific needs of a business, enhancing the relevance and impact of the data presented.
  • Collaboration features
    The platform allows for easy sharing and collaboration on reports and dashboards, enabling teams to work together seamlessly.
  • AI and ML integrations
    Zoho Analytics incorporates AI and machine learning capabilities that provide predictive analytics and deeper insights, helping businesses make data-driven decisions.
  • Scalability
    The solution is scalable and can grow with your business, whether you are a small startup or a large enterprise.

Possible disadvantages of Zoho Analytics

  • Learning curve
    Despite its user-friendly interface, there is still a learning curve for users who are new to business intelligence tools or analytics platforms.
  • Performance issues
    Some users have reported performance issues, particularly when handling very large datasets or executing complex queries.
  • Customization limitations
    While highly customizable, there are some limitations in terms of advanced customizations or specific functionality that can only be achieved through additional coding or scripting.
  • Pricing
    Zoho Analytics may be considered costly for small businesses or startups, especially if they require premium features or additional user licenses.
  • Data refresh frequency
    The frequency of data refreshes can be a limitation for some businesses that require real-time or near-real-time data analytics.
  • Support and documentation
    Though comprehensive, some users find the available support and documentation to be somewhat lacking in depth, making troubleshooting more time-consuming.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of Zoho Analytics

Overall verdict

  • Yes, Zoho Analytics is generally regarded as a good option for businesses and individuals seeking a reliable and cost-effective analytics solution. It strikes a good balance between functionality and ease of use, making it suitable for both technical and non-technical users.

Why this product is good

  • Zoho Analytics is considered a good business intelligence tool because it offers a user-friendly interface, robust data visualization tools, and integration capabilities with various data sources. It provides advanced analytics features such as predictive analytics, augmented analytics, and AI-assisted insights. Users appreciate its ability to handle big data, create comprehensive dashboards, and generate insightful reports. The platform's cloud-based nature ensures accessibility and scalability, while flexible pricing makes it accessible for businesses of different sizes.

Recommended for

    Zoho Analytics is recommended for small to medium-sized businesses, startups, and individual users looking for an intuitive and affordable analytics platform. It's particularly beneficial for teams that require seamless integration with other Zoho products or third-party applications and need features like custom dashboards, deep data analysis, and solid reporting capabilities.

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

Zoho Analytics videos

Create a dashboard in under two minutes with Zoho Analytics

More videos:

  • Review - Zoho Analytics - On Premises: Overview
  • Review - Zoho Analytics - Self-service BI and analytics software

Category Popularity

0-100% (relative to Plotly and Zoho Analytics)
Data Visualization
59 59%
41% 41
Data Dashboard
47 47%
53% 53
Charting Libraries
100 100%
0% 0
Business Intelligence
0 0%
100% 100

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 Zoho Analytics

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 thatโ€™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.

Zoho Analytics Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Zoho Analytics is a self-service BI and analytics software used by the likes of Hyundai, Ikea, HP, and Philips. Their freemium plan is a bit feature lite but you can add up to 2 users, input up to 10K rows/records, and access unlimited reports and dashboards. This is a pretty sturdy offering for free-to-use data analysis. Zoho Analytics comes with a library of pre-built...
Source: theqalead.com
25 Best Reporting Tools for 2022
Zoho Analytics is a SaaS-based Business Intelligence (BI) and Reporting tool that is best suited for non-tech-savvy people. It comes with an easy-to-use interface and powers the Reporting with Machine Learning, Artificial Intelligence, and NLP for augmented analytics. Moreover, Zoho Analytics offers 500+ the box integration that allows companies to seamlessly integrate apps...
Source: hevodata.com
The Best Data Visualization Tools - Top 30 BI Software
Zoho Reports is an online reporting and business intelligence tool that helps you get new insights from your business data. It allows you to easily create and share powerful, ad hoc reports in minutes, with no IT help. Data can be imported from applications and databases, even behind firewalls.
Source: improvado.io
7 Free Project Management Software Options to Keep Your Team On-Track
Zoho Reports is easy to use and lets you create comprehensive dashboards and data visualizations to ensure your projects are on-track. You can import data from outside files, cloud drives, applications, and in-house apps, enabling you to create more accurate cross functional reports. (Zoho Reports is a HubSpot integration partner).

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. 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 (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

Zoho Analytics mentions (0)

We have not tracked any mentions of Zoho Analytics yet. Tracking of Zoho Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Zoho Analytics, 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.

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...

Chartio - Chartio is a powerful business intelligence tool that anyone can use.

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.

Google Charts - Interactive charts for browsers and mobile devices.