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DataGrip VS Plotly

Compare DataGrip VS Plotly and see what are their differences

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DataGrip logo DataGrip

Tool for SQL and databases

Plotly logo Plotly

Low-Code Data Apps
  • DataGrip Landing page
    Landing page //
    2023-03-16
  • Plotly Landing page
    Landing page //
    2023-07-31

DataGrip features and specs

  • Cross-Platform Support
    DataGrip runs on multiple operating systems including Windows, macOS, and Linux, providing flexibility across various development environments.
  • Intelligent Query Console
    The query console offers code completion, syntax highlighting, and on-the-fly error detection, making SQL coding faster and more accurate.
  • Database Support
    Supports a wide range of databases, including MySQL, PostgreSQL, SQLite, Oracle, and many others, allowing users to manage different database systems within one tool.
  • Data Visualization
    Provides powerful data visualization tools, including table and schema views, which help in understanding and managing the data more effectively.
  • Refactoring Tools
    Includes advanced refactoring capabilities such as renaming, changing column types, and finding usages, which help maintain and update databases with ease.
  • Version Control Systems Integration
    Integrates with popular VCS systems like Git and SVN, allowing for seamless code versioning and collaboration.
  • Customizable Interface
    Highly customizable interface with various themes and layout configurations that adapt to different working styles and preferences.

Possible disadvantages of DataGrip

  • Cost
    DataGrip is a commercial tool and requires a subscription, which may be a significant cost for individual developers or small teams.
  • Resource Intensive
    Tends to consume a considerable amount of system resources, which may affect performance on less powerful machines.
  • Steep Learning Curve
    The tool offers a wide range of features and customizations that can be overwhelming for beginners and may require time to learn and master.
  • Occasional Bugs
    Users have reported occasional bugs and instability issues, which can disrupt workflow and productivity.
  • Limited Non-SQL Database Support
    Primarily designed for SQL databases and has limited support or features for non-SQL databases compared to specialized tools.
  • Complex Configuration
    Initial setup and configuration can be complex, particularly when integrating with various databases and external tools.

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.

DataGrip videos

+ Add

DataGrip Introduction

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 DataGrip and Plotly)

DataGrip

Plotly

Databases
100 100%
Databases
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Database Management
100 100%
Database Management
0% 0
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 DataGrip and Plotly

DataGrip Reviews

TOP 10 IDEs for SQL Database Management & Administration [2024]
DataGrip is an established commercial platform for SQL developers and database administrators. It focuses on assisting users in writing and analyzing SQL code and also offers a wide range of tools for data management across diverse database systems. A clean and user-friendly graphical interface allows for switching many jobs into the visual mode, thereby accelerating...
Source: blog.devart.com
Top pgAdmin Alternatives 2023
DataGrip is a database IDE by JetBrains for macOS, Windows, and Linux. It provides complete support for the most popular databases like Postgres, MySQL, MongoDB, etc., and basic support with limited features for database vendors including DuckDB, Elasticsearch, SingleStore, etc. It is not open-source and operates on a commercial licensing model (but offers a 30-day trial...
Source: www.bytebase.com
15 Best MySQL GUI Clients for macOS
DataGrip is a smart subscription-based IDE for numerous database tasks. It equips database developers, administrators, and analysts with a multitude of integrated tools that help you work with queries and deliver flexible management of database objects.
Source: blog.devart.com
Best MySQL GUI Clients for Linux in 2023
DataGrip is a smart IDE for database tasks. It equips database developers, administrators, and analysts with many professional tools integrated into one platform. With the help of DataGrip, users can work with large queries and stored procedures easily as well as code faster with the help of auto-completion, syntax checks, quick fixes, etc.
Source: blog.devart.com
9 Best Database Software For Mac [Reviewed & Ranked]
It is not easy to say which is the best database software for mac. You need to work out if you are after a general database client for development or are you after a full-blown IDE. For a general database developer tool, DBeaver is free and open-source and has basic to advanced features. If you want a full IDE then TablePlus or DataGrip will be more suitable options.
Source: alvarotrigo.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.
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, Plotly seems to be a lot more popular than DataGrip. While we know about 33 links to Plotly, we've tracked only 1 mention of DataGrip. 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.

DataGrip mentions (1)

  • Which Is The Best PostgreSQL GUI? 2021 Comparison
    DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it's developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won't need an introduction on how good JetBrains IDEs are. - Source: dev.to / about 4 years ago

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 2 months 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 / 6 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 DataGrip and Plotly, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

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.

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

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

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

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

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