Software Alternatives, Accelerators & Startups

Splunk Enterprise VS Plotly

Compare Splunk Enterprise 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.

Splunk Enterprise logo Splunk Enterprise

Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.

Plotly logo Plotly

Low-Code Data Apps
  • Splunk Enterprise Landing page
    Landing page //
    2023-03-28
  • Plotly Landing page
    Landing page //
    2023-07-31

Splunk Enterprise features and specs

  • Scalability
    Splunk Enterprise is designed to handle large volumes of data from different sources, making it suitable for enterprises of all sizes.
  • Real-time monitoring
    It offers real-time data analysis and monitoring, helping organizations to detect and respond to issues as they happen.
  • Custom dashboards
    Users can create custom dashboards aligned with their specific needs, offering flexibility in data visualization.
  • Data Integration
    Splunk supports integration with a wide range of data sources including logs, metrics, and events from various applications and systems.
  • Advanced Analytics
    It provides advanced analytics capabilities, including machine learning models to recognize patterns and anomalies in the data.
  • User Community and Support
    Splunk has a large user community and extensive documentation, helping users to find solutions and best practices more effectively.
  • Robust Security
    It offers multiple security features including data encryption, user authentication, and access control to protect sensitive information.

Possible disadvantages of Splunk Enterprise

  • Cost
    Splunk Enterprise can be expensive, especially for smaller organizations, because of its licensing and hardware requirements.
  • Complexity
    Setting up and managing Splunk can be complex and might require specialized knowledge and training.
  • High Resource Consumption
    The platform can be resource-intensive, requiring significant compute and storage capacity depending on data volume.
  • Overhead for Small Deployments
    For smaller deployments, the comprehensive capabilities of Splunk can be overkill, leading to unnecessary overhead.
  • Customization Learning Curve
    While custom dashboards are a strong feature, they can have a steep learning curve, requiring time and expertise to fully utilize.
  • Search Performance
    The search performance can degrade as the volume of data increases, necessitating additional tuning and optimization.

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 Splunk Enterprise

Overall verdict

  • Yes, Splunk Enterprise is considered a good choice for businesses aiming to enhance their data analytics capabilities. It is well-suited for enterprises that need to handle large-scale data analysis, monitor performance, and troubleshoot issues effectively.

Why this product is good

  • Splunk Enterprise is highly regarded for its ability to index, search, and analyze vast amounts of machine-generated data in real-time. It offers powerful visualization tools, extensive data integration capabilities, and robust security features. This makes it ideal for organizations looking to derive actionable insights and improve operational efficiency.

Recommended for

    Splunk Enterprise is recommended for IT and security teams, data analysts, and businesses that require advanced log management, real-time data processing, and comprehensive reporting tools. It is particularly valuable for industries such as finance, healthcare, retail, and telecommunications where data-driven decision-making is crucial.

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.

Splunk Enterprise videos

Webinar: Splunk Enterprise Security (Splunk ES)

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 Splunk Enterprise and Plotly)
Monitoring Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Log Management
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 Splunk Enterprise and Plotly

Splunk Enterprise Reviews

We have no reviews of Splunk Enterprise yet.
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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.

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.

Splunk Enterprise mentions (0)

We have not tracked any mentions of Splunk Enterprise yet. Tracking of Splunk Enterprise 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 / 6 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!🤓
    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 / almost 2 years 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 Splunk Enterprise and Plotly, you can also consider the following products

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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.

AppDynamics - Get real-time insight from your apps using Application Performance Management—how they’re being used, how they’re performing, where they need help.

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

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

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.