Software Alternatives, Accelerators & Startups

ThoughtSpot VS Plotly

Compare ThoughtSpot VS Plotly and see what are their differences

ThoughtSpot logo ThoughtSpot

ThoughSpot is a search-driven analytics platform that allows you to track your company's metrics without the need to hire a professional analyst.

Plotly logo Plotly

Low-Code Data Apps
  • ThoughtSpot Landing page
    Landing page //
    2023-10-18
  • Plotly Landing page
    Landing page //
    2023-07-31

ThoughtSpot features and specs

  • Ease of Use
    ThoughtSpot provides a user-friendly interface that allows even non-technical users to easily search and analyze data using natural language queries.
  • Insightful Data Visualization
    The platform offers strong data visualization capabilities, presenting data in an easily digestible format through charts, graphs, and dashboards.
  • Scalability
    Designed to handle large volumes of data efficiently, ThoughtSpot can scale as your data grows without significant performance degradation.
  • Real-time Analytics
    ThoughtSpot excels in providing real-time analytics, allowing users to receive up-to-date insights quickly for timely decision-making.
  • Advanced AI Features
    With advanced AI capabilities, ThoughtSpot can suggest insights and automate data analysis tasks, increasing productivity and uncovering hidden trends.

Possible disadvantages of ThoughtSpot

  • Cost
    ThoughtSpot can be expensive, which may be a barrier for small businesses or startups with limited budgets.
  • Integration Complexity
    Integrating ThoughtSpot with existing data sources or other business applications can be complex and may require additional technical resources.
  • Learning Curve
    While its interface is user-friendly, there can still be a learning curve for users who are not familiar with data analytics and visualization tools.
  • Customization Limitations
    Some users may find limitations in customization options for visualizations and dashboards compared to other BI tools.
  • Dependency on Internet Connectivity
    As a cloud-based platform, ThoughtSpot heavily depends on stable internet connectivity, which can be a hindrance in regions with poor network infrastructure.

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.

Analysis of ThoughtSpot

Overall verdict

  • Overall, ThoughtSpot is highly regarded for democratizing data access and analytics, empowering non-technical users to perform complex analyses independently. It is particularly well-suited for organizations seeking to enhance their data-driven decision-making processes.

Why this product is good

  • ThoughtSpot is generally considered good due to its user-friendly interface and powerful search capabilities, which allow users to easily access and analyze large volumes of data without needing to write complex queries. It uses AI-driven insights to help users discover trends and patterns, providing valuable business intelligence.

Recommended for

    ThoughtSpot is recommended for businesses and organizations looking for an intuitive, self-service analytics platform. It is especially beneficial for teams that require quick, insightful data exploration without extensive training or reliance on data scientists. Industries like retail, healthcare, and finance can significantly benefit from its capabilities.

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.

ThoughtSpot videos

AI Is The New BI! Thoughtspot Does Search & AI-Driven Analytics

More videos:

  • Review - Tools that help businesses make sense of data: ThoughtSpot CEO
  • Review - ThoughtSpot: The New Trend in Search & AI Driven Analytics

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

Category Popularity

0-100% (relative to ThoughtSpot and Plotly)
Business Intelligence
100 100%
0% 0
Data Visualization
36 36%
64% 64
Data Dashboard
47 47%
53% 53
Charting Libraries
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 ThoughtSpot and Plotly

ThoughtSpot Reviews

Business Intelligence Tools You Need to Know in 2026
ThoughtSpot was built around search-driven analytics from the start. Users can type or speak natural language questions, and ThoughtSpot automatically translates them into queries against connected data warehouses, returning insights in seconds without requiring SQL or dashboard creation.
Source: supaboard.ai
10 Best Alternatives to Looker in 2024
ThoughtSpot/Mode: ThoughtSpot stands out for its search-driven analytics, delivering a Google-like experience in data querying. This capability is complemented by Mode's strengths in collaborative analytics and robust reporting functionalities.
10 Best Looker Alternatives in 2024 | A Practitioner Review
Thoughtspot makes a good Looker alternative as it's also built for self-service analytics, offering a Looker-like explore-type interface. They have a strong search function that allows users to ask and get answers to data questions using natural language.
25 Best Reporting Tools for 2022
ThoughtSpot hasnโ€™t disclosed the pricing of the tool, and users can contact its Sales team to subscribe to it. It offers a 14-day trial period.
Source: hevodata.com

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.

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.

ThoughtSpot mentions (0)

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

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
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What are some alternatives?

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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...

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

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities