Software Alternatives, Accelerators & Startups

Apollo.io VS Plotly

Compare Apollo.io VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Apollo.io logo Apollo.io

Apolloโ€™s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.

Plotly logo Plotly

Low-Code Data Apps
  • Apollo.io Landing page
    Landing page //
    2023-05-08
  • Plotly Landing page
    Landing page //
    2023-07-31

Apollo.io features and specs

  • Comprehensive Database
    Apollo.io offers a vast and up-to-date contact database, which is ideal for lead generation and sales prospecting.
  • Advanced Search Filters
    The platform provides powerful filtering options that allow users to narrow down potential leads by various criteria, making it easier to target specific audiences.
  • Integration Capabilities
    Apollo.io integrates seamlessly with popular CRM tools like Salesforce and HubSpot, streamlining the workflow for sales teams.
  • Email Tracking
    The email tracking feature helps sales teams monitor engagement and follow up effectively, thereby increasing the chances of closing deals.
  • Customization and Automation
    Users can customize outreach templates and automate follow-up sequences, improving efficiency and ensuring consistent communication.

Possible disadvantages of Apollo.io

  • Pricing
    The platform can be expensive, especially for small businesses or startups with limited budgets.
  • Data Accuracy
    Some users report that contact information can occasionally be outdated or inaccurate, leading to ineffective outreach.
  • Learning Curve
    The platform's extensive features may require a significant amount of time to learn and utilize effectively, posing challenges for new users.
  • Support Limitations
    Customer support may not be as responsive or comprehensive as some users would like, potentially leading to delays in issue resolution.
  • Overdependence on Technology
    Relying too much on the platform's automation features can sometimes lead to reduced personalization in outreach efforts, which can affect engagement.

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 Apollo.io

Overall verdict

  • Apollo.io is generally well-regarded in its space, especially for businesses looking to enhance their sales intelligence and outreach processes. Most users appreciate its robust feature set and user-friendly interface.

Why this product is good

  • Apollo.io is considered good by many users because it provides a comprehensive sales engagement platform with features like a vast and accurate database of contacts, powerful searching and filtering tools, and automated outreach capabilities. It helps sales teams improve their prospecting efficiency and effectiveness.

Recommended for

  • Sales teams looking to streamline their prospecting efforts
  • Businesses seeking a reliable source of contact data
  • Organizations that want to automate and optimize their outreach campaigns
  • Companies of all sizes aiming to enhance their lead generation strategies

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.

Apollo.io videos

Free software to find email addresses - apollo.io review

More videos:

  • Review - โ€œFeature Fatigue Kills UXโ€ by Lily Chen, senior software engineer at Apollo.io

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 Apollo.io and Plotly)
Lead Generation
100 100%
0% 0
Data Visualization
0 0%
100% 100
Sales Tools
100 100%
0% 0
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 Apollo.io and Plotly

Apollo.io Reviews

  1. michelleturner
    ยท Managing Director at Nuvoro Digital ยท
    Apollo for automated outreach

    We use Apollo with our Sales and BDR team to manage our cold outreach. The strength of the platform is the sequences and cadences that you can set up. Compared to other tools we have used in the past like Salesloft the UI is much easier to navigate. The main limitation is that the quality of data isn't as vast and often I can find prospects on Linkedin but not in Apollo.

    ๐Ÿ Competitors: SalesLoft
    ๐Ÿ‘ Pros:    Creating email sequences|Ab testing of emails|Good user experience
    ๐Ÿ‘Ž Cons:    Data quality is lacking sometimes|Onboardin process was cumbersome

Best AI Prospecting Tools for B2B Sales in 2026
What is the best AI prospecting tool for B2B sales in 2026? The best tool depends on your team's specific situation. toflow.ai is a strong fit for multi-channel outreach across email, LinkedIn, and WhatsApp, and is the only platform in this list with native MCP support for Claude and ChatGPT-based prospecting. Apollo.io is the leading option for teams needing a large contact...
Source: toflow.ai
11 Apollo.io Alternatives and Competitors 2024
FAQWhatโ€™s better than Apollo.io?What Apollo.io competitors are better for lead generation? What is Apollo.io used for?
Source: evaboot.com
Top 15+ Apollo.io Competitors & Alternatives [2024]
Unlike some other Apollo.io competitors, Reply is also great for engaging potential customers. The platform boasts multichannel outreach options and cloud calling. You can also use it to send personalized outreach, including videos created on Vidyard.
Source: www.kaspr.io
15 Best Apollo.io Alternatives to Find Verified B2B Leads (2024)
FindThatLead is affordable, with plans for individuals and small teams. If you just need the basic contact details for leads, FindThatLead is a practical alternative to look at instead of Apollo.io.

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, Apollo.io should be more popular than Plotly. It has been mentiond 69 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.

Apollo.io mentions (69)

  • Enriching Free Trial Signups: The PLG Data Stack for Turning Inbound Users Into Qualified Pipeline
    Personal email domains destroy this. Clearbit's Enrichment API returns a null company when it hits gmail.com. Apollo routes personal domains straight to a consumer bucket and skips B2B fields entirely. Even PDL's /person/enrich endpoint โ€” the most permissive of the major providers โ€” gives you around 32% hit rate on Gmail addresses versus 74% on corporate domains. I measured this across 6,200 signups for a... - Source: dev.to / about 2 months ago
  • Clearbit Is Now HubSpot-Only: A 1-to-1 API Migration Map for Teams Getting Locked Out
    A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did โ€” the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / about 2 months ago
  • Auto-Enriching Your CRM on New Contact Creation: A No-Code Webhook Playbook
    One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2โ€“8 seconds of latency per row in my runs and costs more per match than going direct. For a CRM webhook flow where you need sub-second enrichment calls, Clay is the wrong layer to hit first. - Source: dev.to / 3 months ago
  • How to Build an OSINT-Powered B2B Prospecting Workflow in 2026 (Without Getting Banned)
    Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n โ€” pulling from public sources before hitting any paid API โ€” matched 79% and cost roughly $0.003 per contact. The delta wasn't magic. It was sequence. - Source: dev.to / 3 months ago
  • LinkedIn Scraping Is Dead: 5 Legal, ToS-Safe Alternatives That Actually Work in 2026
    Despite having its LinkedIn Page removed in 2025, Apollo remains a functional enrichment and outreach platform with 275M+ contacts. The free tier includes 10,000 credits and the $49/month basic plan is the cheapest entry point for a combined enrichment-plus-sequencing workflow. Apollo's data collection methods have attracted LinkedIn's attention, but the product continues to operate. The risk I'd assign it:... - Source: dev.to / 3 months ago
View more

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

What are some alternatives?

When comparing Apollo.io and Plotly, you can also consider the following products

ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.

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.

Lusha - Search less. Sell more.

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

Hunter.io - Find all the email addresses related to a domain

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.