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Sisense VS Python

Compare Sisense VS Python 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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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Sisense logo Sisense

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

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Sisense Landing page
    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

  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

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.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Sisense videos

+ Add

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

More videos:

  • Review - Sisense Business Intelligence Software: Product Spotlight
  • Demo - Sisense Product Demo

Python videos

+ Add

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Sisense and Python)

Sisense

Python

Data Dashboard
100 100%
Data Dashboard
0% 0
Programming Language
0 0%
Programming Language
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
OOP
0 0%
OOP
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 Sisense and Python

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

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Let’s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Source: www.analyticsinsight.net
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
Source: blog.back4app.com
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
Source: searchbusinessanalytics.techtarget.com
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 288 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.

Python mentions (288)

  • A Beginner's Guide to Auto-Instrumenting a Flask App with OpenTelemetry and SigNoz
    If Python is not installed, download it from python.org or use your system's package manager (e.g., sudo apt install python3 on Ubuntu). - Source: dev.to / about 1 month ago
  • Scraping Infinite Scroll Pages with a 'Load More' Button: A Step-by-Step Guide
    Python Installed: Download and install the latest Python version from python.org, including pip during setup. - Source: dev.to / 4 months ago
  • Get Started with Python
    First, you'll need to install Python if you don't have it already. Go to the official Python website python.org, download the latest version, and follow the instructions. - Source: dev.to / 5 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Python: We’ll use Python for it’s simplicity and accessibility. - Source: dev.to / 5 months ago
  • Python Packaging is Great Now: `uv` is all you need
    Bootstrapping was an often neglected problem. Should we tell people to install Python from https://python.org? The Anaconda distribution? How do we stop folks from using their system package manager and risk breaking everything? - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Sisense and Python, 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.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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.

Rust - A safe, concurrent, practical language

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

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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