Plotly VS Redash

Compare Plotly VS Redash and see what are their differences

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Redash

Data visualization and collaboration tool.

Landing page //
2023-07-31

Landing page //
2023-07-22

Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -

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Redash

Website: redash.io
Pricing URL: -
$ Details

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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.

Redash features and specs

Open Source
Redash is an open-source tool, allowing users to customize and extend its functionalities to suit their specific needs.
Cost
As an open-source product, Redash can be used for free, making it cost-effective for organizations with limited budgets.
Data Source Integration
Redash supports a wide range of data sources, including SQL databases, NoSQL databases, and cloud services, making it versatile for different data needs.
Query Editor
Redash comes with a powerful query editor that supports SQL, which makes it easy for data analysts to write and execute queries.
Visualization Options
Redash provides multiple visualization options such as bar charts, line charts, and pie charts to help users interpret data effectively.
Collaboration
Redash allows multiple users to collaborate on queries and dashboards, fostering teamwork within organizations.
Alerting
Users can set up alerts to notify them when certain data conditions are met, enabling proactive decision-making.

Possible disadvantages of Redash

User Interface
The user interface of Redash can be less intuitive, especially for new users who are not familiar with data analytics tools.
Scalability
Redash might face performance issues when dealing with very large datasets or a high number of simultaneous queries.
Community Support
Being an open-source product, Redash relies heavily on community support, which can be inconsistent and slower compared to commercial products with dedicated support teams.
Advanced Features
Compared to more established BI tools, Redash may lack some advanced features and functionalities like detailed user access controls and more complex data transformations.
Documentation
The documentation for Redash can be lacking or outdated, making it challenging for users to find the information they need.
Deployment Complexity
Setting up and maintaining a Redash instance can be complex and require a good understanding of infrastructure management.

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.

Analysis of Redash

Overall verdict

Yes, Redash is considered good for users who need a straightforward, yet powerful, tool for data visualization and exploration. Its ease of use, combined with the capabilities to support various data sources, makes it a solid choice for companies and data teams.

Why this product is good

Redash is well-regarded for its simplicity and powerful visualization capabilities. It is an open-source platform that allows users to connect to a wide range of data sources, create dashboards, and share insights easily. It provides users with the flexibility to write SQL queries to fetch data and then visualize it in an interactive and intuitive manner. Redash's support for multiple data source connections, along with its collaborative features, makes it a great tool for teams looking to leverage data efficiently.

Recommended for

Data Analysts
Business Intelligence Teams
Organizations looking for an open-source data visualization tool
Teams needing collaboration features for data-driven decision making
Users with SQL knowledge needing flexible query capabilities

Plotly videos

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Create Real-time Chart with Javascript | Plotly.js Tutorial

Redash videos

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Category Popularity

0-100% (relative to Plotly and Redash)

Plotly

Redash

Data Visualization

57 57%

Data Visualization

43% 43

Data Dashboard

43 43%

Data Dashboard

57% 57

Charting Libraries

100 100%

Charting Libraries

0% 0

Business Intelligence

0 0%

Business Intelligence

100% 100

User comments

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

Reviews

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

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

Redash Reviews

Top 10 BI Tools in 2026 (with Pricing, AI Features & Enterprise Fit)

Redash is a lightweight, open-source business intelligence tool designed for easy data exploration using SQL queries and interactive dashboards. It helps teams visualize, share, and collaborate on insights quickly. With flexible integrations and a user-friendly interface, Redash is popular among startups and data teams.

Source: supaboard.ai

6 Best Looker alternatives

Accessibility: Though it also requires support from your data team, Looker is more targeted to non-tech users than Redash, since Redash requires SQL expertise.

Source: trevor.io

Best 8 Redash Alternatives in 2023 [In Depth Guide]

So all-in-all, Redash is meant for users who have the technical knowledge and depend a lot on KPIs, and Datapad is for users and businesses who just want an overview of KPI performance but quickly.

Source: www.datapad.io

8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI

Small businesses and startups with limited resources that need to answer simple queries will find Metabase, Tableau, and PowerBI suitable for their needs. However, if you have an in-house data team dedicated to the project, you might find open-source software like Redash and Metabase (open-source version) beneficial. And if you have the team, time, and money, Looker or...

Source: trevor.io

Top 10 Tableau Open Source Alternatives: A Comprehensive List

With Redash, you can integrate with Data Warehouses more quickly, write SQL queries to pull subsets of data for visualizations, and share dashboards more easily. Its SQL interface is especially easy to use for anyone who is familiar with SQL Server Management Studio or any querying GUI tool for databases. It also provides support for over 20+ data sources and allows users to...

Source: hevodata.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Redash. 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.

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!🤓
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

Redash mentions (19)

Tool or service for querying and exposing database through API
I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code somewhere, my other service would call this tool e.g. http://microservice/query=1?param1=xx&page=2 and get the results from the DB. These calls are internal only and part of ETL... Source: about 3 years ago
Did anyone try Openblocks for multi-tenant client reporting?
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with. Source: about 3 years ago
Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs. Source: about 3 years ago
Framework Laptops are now Thunderbolt 4 certified
In addition to metabase there are redash[0] and apache superset[1]. They are more or less similar to metabase with some different quirks. You can also visualize quite a bit of data in grafana[2] as well. [0] https://redash.io/ [1] https://superset.apache.org/ [2] https://github.com/grafana/grafana. - Source: Hacker News / almost 4 years ago
How to program an appealing data visualization, that automatically synchronizes itself? (Picture in comments)
This is typically called a "dashboard" and there is a whole industry of existing commercial products (for example https://redash.io/) that are built around doing data analysis and visualization. Source: almost 4 years ago

What are some alternatives?

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

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.

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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

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.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Google Charts - Interactive charts for browsers and mobile devices.

Microsoft Power BI vs Plotly

Microsoft Power BI vs Redash