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PlanetScale VS Plotly

Compare PlanetScale VS Plotly and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.

Plotly logo Plotly

Low-Code Data Apps
  • PlanetScale Landing page
    Landing page //
    2023-10-15
  • Plotly Landing page
    Landing page //
    2023-07-31

PlanetScale features and specs

  • Scalability
    PlanetScale is designed for massive scale, leveraging the Vitess engine that powers YouTube. This makes it suitable for applications requiring high scalability for both read and write operations.
  • Global Distribution
    Offers multi-region deployment, ensuring low-latency access and higher availability, beneficial for globally distributed applications.
  • Serverless Approach
    The platform takes a serverless approach to database management, which means automatic scaling, less infrastructure to manage, and potential cost savings.
  • Branching and Sharding
    Supports database branching for isolated environments like development, testing, and production. It also supports sharding, which helps in distributing data across multiple nodes for better performance and reliability.
  • High Availability
    PlanetScale provides high availability with automated failover mechanisms, ensuring minimal downtime.
  • Strong Data Integrity
    Uses Vitess’s strong consistency models to ensure data integrity across distributed systems.
  • Developer Friendly
    Includes tools and features that make it easier for developers to manage, such as automatic migrations and simplified schema management.
  • Integration
    Can be easily integrated with various cloud service providers, making it flexible for different deployment environments.

Possible disadvantages of PlanetScale

  • Learning Curve
    The platform comes with a learning curve, especially for teams unfamiliar with Vitess or managing distributed databases.
  • Cost
    While it can offer cost savings in some areas, the pricing for large-scale deployments and multi-region setups can be relatively high.
  • Complexity of Advanced Features
    Advanced features like sharding and branching can add complexity to the database management operations.
  • Limited Ecosystem
    Compared to more established databases, the ecosystem and community around PlanetScale might be smaller, which can affect the availability of third-party tools and community support.
  • Vendor Lock-in
    Using a proprietary platform can lead to vendor lock-in, making it harder to switch to other database services if needed.
  • Early-stage Platform
    While promising, PlanetScale is relatively new compared to some other established database services, which means it may lack some maturity or have bugs that older platforms have ironed out.

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.

PlanetScale videos

+ Add

PlanetScale Beta - Release Radar

More videos:

  • Review - Using PlanetScale (MySQL) with Next.js and Vercel!
  • Review - PlanetScale and Prisma: building in the cloud - Nick Van Wiggeren | Prisma Day 2021

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 PlanetScale and Plotly)

PlanetScale

Plotly

Databases
100 100%
Databases
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
66 66%
Developer Tools
34% 34
Data Dashboard
0 0%
Data Dashboard
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 PlanetScale and Plotly

PlanetScale Reviews

We have no reviews of PlanetScale 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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, PlanetScale should be more popular than Plotly. It has been mentiond 102 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.

PlanetScale mentions (102)

  • Ask HN: What's the best free database provider out there?
    Https://planetscale.com/ would be a good bet. - Source: Hacker News / 16 days ago
  • List of 45 databases in the world
    PlanetScale — Serverless database platform built on MySQL and Vitess. - Source: dev.to / 10 months ago
  • Good alternatives to Heroku
    Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / 12 months ago
  • MySQL or Top Alternatives in 2024 and How to Choose One
    PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / 12 months ago
  • Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
    For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon. - Source: dev.to / about 1 year ago
View more

Plotly mentions (33)

  • 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 / about 1 month 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 / 4 months 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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Datahike - A durable datalog database adaptable for distribution.

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.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Chart.js - Easy, object oriented client side graphs for designers and developers.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

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

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