Sisense VS Plotly

Compare Sisense VS Plotly and see what are their differences

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Sisense

The BI & Dashboard Software to handle multiple, large data sets.

Plotly

Low-Code Data Apps

Landing page //
2023-10-11

Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours

Landing page //
2023-07-31

Sisense

Website: sisense.com
Pricing URL: Official Sisense Pricing

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Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing

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Sisense features and specs

Self-Service Analytics
Sisense allows users to create, analyze, and visualize data through a straightforward drag-and-drop interface, which significantly reduces dependency on IT teams.
Scalability
The platform is built to handle large datasets and can scale up efficiently to meet growing business needs, ensuring performance remains stable as data complexity increases.
Integrations
Sisense offers robust integrations with numerous data sources, including databases, cloud services, and third-party applications, making it easy to unify data from across the organization.
Embedded Analytics
The product provides strong embedded analytics capabilities, allowing businesses to integrate advanced analytics directly into their own applications and workflows.
Customizable Dashboards
Users can create highly customizable dashboards tailored to specific business requirements, enabling more insightful and actionable data visualization.

Possible disadvantages of Sisense

Complexity for Novices
While powerful, the platform has a steep learning curve for users who are not familiar with BI tools, requiring either training or a background in data analysis to leverage its full potential.
Cost
Sisense can become expensive, particularly for small and medium-sized businesses, as pricing may increase with the addition of more users and data volume.
Performance Issues
Some users report performance issues when dealing with extremely large datasets or complex queries, which can hinder real-time analytics and decision-making.
Customer Support
Several users have mentioned that customer support can sometimes be slow to respond or resolve issues, which can be frustrating during critical business operations.
Limited Advanced Analytics
While Sisense excels in self-service and embedded analytics, it may be less effective for advanced data science tasks such as machine learning and predictive analytics compared to specialized 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.

Analysis of Sisense

Overall verdict

Sisense is a highly regarded business intelligence platform that is well-suited for companies looking for an easy-to-use yet powerful analytics tool. Its flexibility and scalability make it a strong contender in the BI market, catering to the needs of both small and large enterprises.

Why this product is good

Sisense is considered good due to its user-friendly interface, robust data visualization capabilities, and powerful analytics tools. It allows users to easily connect to a wide variety of data sources, provides advanced analytics without requiring deep technical knowledge, and offers customizable dashboards and reports. Additionally, Sisense includes features like AI-driven insights and high-speed processing, making it suitable for handling large datasets efficiently.

Recommended for

Sisense is recommended for businesses and organizations of all sizes that need to transform complex data into actionable insights. It is particularly beneficial for data analysts, business strategists, and decision-makers who require real-time business intelligence and visualization without extensive IT intervention.

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.

Sisense videos

+ Add

I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to Sisense and Plotly)

Sisense

Plotly

Business Intelligence

100 100%

Business Intelligence

0% 0

Data Visualization

62 62%

Data Visualization

38% 38

Data Dashboard

78 78%

Data Dashboard

22% 22

Charting Libraries

0 0%

Charting Libraries

100% 100

User comments

Share your experience with using Sisense and Plotly. 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 Sisense and Plotly

Sisense Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis

Sisense is a top business intelligence tool that converts complex data into useful insights. Sisense's Elastic Data Engine (EDT) enables fast query performance and real-time analytics. It provides a simple interface for data processing, viewing, and sharing. Sisense scales quickly, offers advanced analytics, and protects data. Its mobile apps provide on-the-go access to...

Source: www.draxlr.com

10 Best Alternatives to Looker in 2024

Sisense: Sisense excels at merging complex data from multiple sources into actionable insights, making it perfect for businesses handling diverse data sets. Its drag-and-drop interface simplifies the analytics process, making it accessible even to users with limited technical expertise.

Source: www.sigmacomputing.com

6 Best Looker alternatives

Like Looker, Sisense doesn’t release its pricing – they custom build quotes based on the number of users and data size. Reviews suggest that plans typically start at $17,000 per year.

Source: trevor.io

Top 10 AI Data Analysis Tools in 2024

One of the standout features of Sisense is its ability to visualize AI and machine learning-enhanced analytics through clear charts and graphs. Additionally, it supports natural language queries, allowing users to ask questions in everyday language and receive insights generated by natural language generation and generative AI technologies.

Source: powerdrill.ai

5 best dashboard building tools for SQL data in 2024

Sisense is the last business intelligence platform on our list, and it was founded in 2004. It operates on a single-stack architecture to provide insights as dashboards.

Source: www.draxlr.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 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.

Sisense mentions (0)

We have not tracked any mentions of Sisense yet. Tracking of Sisense 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 / 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!🤓
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

What are some alternatives?

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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.

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.

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

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.