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CB Insights VS Plotly

Compare CB Insights VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

CB Insights logo CB Insights

CB Insights is a company database for the venture capital and corporate development community.

Plotly logo Plotly

Low-Code Data Apps
  • CB Insights Landing page
    Landing page //
    2023-07-30
  • Plotly Landing page
    Landing page //
    2023-07-31

CB Insights features and specs

  • Comprehensive Data
    CB Insights offers extensive data on private companies, industries, and investment trends, giving users access to a vast amount of detailed and up-to-date information.
  • Advanced Analytics
    The platform provides sophisticated analytical tools that allow users to conduct in-depth research, performance benchmarking, and predictive modeling.
  • User-Friendly Interface
    The platform is designed with a user-friendly interface that makes it easier for users to navigate through large amounts of data and find relevant information quickly.
  • Custom Reports
    CB Insights offers the ability to generate customized reports based on specific criteria, enabling tailored insights for business decisions.
  • Expert Insights
    The platform includes expert analysis and insights, which can help users understand broader industry trends and the implications of specific data points.
  • Real-Time Updates
    CB Insights provides real-time updates, ensuring that users have access to the latest information and trends in their industry.

Possible disadvantages of CB Insights

  • High Cost
    The subscription fees for CB Insights can be quite expensive, which may be prohibitive for smaller businesses or startups with limited budgets.
  • Complexity
    Due to the vast amount of data and advanced features, there can be a steep learning curve for new users to fully utilize the platform's capabilities.
  • Limited Public Company Data
    While CB Insights excels in private company data, its coverage and depth of information on publicly traded companies may not be as comprehensive.
  • Data Overload
    The extensive data available can sometimes be overwhelming, making it challenging for users to filter out the noise and focus on the most pertinent information.
  • Dependent on Data Accuracy
    The platform's value is heavily dependent on the accuracy and timeliness of its data, and any lapses in data quality can affect decision-making.

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 CB Insights

Overall verdict

  • CB Insights is generally well-regarded for its comprehensive data and analytical capabilities. It is particularly useful for professionals who need a robust tool for tracking private company information and market trends. However, individual experiences may vary, so it's important to assess whether its offerings align with your specific needs.

Why this product is good

  • CB Insights is considered a valuable resource for those interested in technology and market intelligence. It provides in-depth research reports, data analysis, and insights on private companies, emerging technologies, and industry trends. Users appreciate its detailed data on startups, investments, and sector-specific analysis, which can aid decision-making for investors, analysts, and corporate strategists.

Recommended for

    CB Insights is recommended for venture capitalists, investors, corporate development teams, innovation officers, strategic consultants, and anyone who requires reliable data and insights into the private company landscape and emerging technologies.

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.

CB Insights videos

+ Add

Anand Sanwal, CEO & Co-Founder of CB Insights, Keynote

More videos:

  • Review - [PreMoney SF 2016] Anand Sanwal: "CB Insights on Tech, VC and Emerging Trends"
  • Review - How CB Insights (CEO Anand Sanwal) Uses Content Marketing To Get 1,000+ Signups Per Month

Plotly videos

+ Add

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 CB Insights and Plotly)

CB Insights

Plotly

Startups
100 100%
Startups
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Investing
100 100%
Investing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using CB Insights and Plotly. For example, how are they different and which one is better?
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Reviews

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

CB Insights Reviews

We have no reviews of CB Insights yet.
Be the first one to post

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than CB Insights. While we know about 34 links to Plotly, we've tracked only 1 mention of CB Insights. 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.

CB Insights mentions (1)

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 / 5 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 CB Insights and Plotly, you can also consider the following products

Crunchbase - Crunchbase is a platformย for discovering industry trends, investments, and news about companies around the world.

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.

PitchBook - PitchBook is an award winning data & technology provider for the global private equity and...

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

Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.

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.

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