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Jupyter VS Cognos

Compare Jupyter VS Cognos and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Cognos logo Cognos

Discover an all-inclusive BI solution for faster, more reliable data prep and reporting.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Cognos Landing page
    Landing page //
    2023-05-08

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Cognos features and specs

  • Comprehensive Reporting
    Cognos Analytics provides robust reporting tools that allow users to create detailed and customized reports, catering to a variety of business needs.
  • Data Visualization
    Cognos comes equipped with powerful data visualization tools, enabling users to create interactive and intuitive dashboards for better data interpretation.
  • Integration Capabilities
    Cognos integrates seamlessly with numerous data sources, including databases, cloud services, and big data platforms, facilitating comprehensive data analysis.
  • User-Friendly Interface
    The platform offers an intuitive and user-friendly interface, making it accessible for users with varying levels of technical expertise.
  • Advanced Analytics
    Cognos includes advanced analytical features such as predictive analytics and AI-driven insights, helping businesses make data-driven decisions.
  • Security Features
    Cognos provides robust security features, including role-based access control and data encryption, ensuring that data integrity and confidentiality are maintained.
  • Mobile Access
    The platform supports mobile access, allowing users to interact with their data and reports on-the-go through mobile devices.

Possible disadvantages of Cognos

  • Cost
    Cognos can be relatively expensive, especially for small to mid-sized businesses, due to its comprehensive features and licensing fees.
  • Complex Implementation
    The implementation process of Cognos can be complex and time-consuming, often requiring specialized expertise and a significant investment of time.
  • Learning Curve
    Despite its user-friendly interface, there is still a steep learning curve associated with mastering all the features and functions of Cognos Analytics.
  • Performance Issues
    Some users have reported performance issues, particularly when handling large datasets, which can lead to slower processing times.
  • Customization Limitations
    While Cognos offers a wide range of features, customization options can sometimes be limited, which may not fully meet the unique requirements of all businesses.
  • Technical Support
    Some users have found IBM's technical support for Cognos to be lacking in terms of response times and the effectiveness of solutions provided.

Analysis of Cognos

Overall verdict

  • Cognos is considered a good choice for enterprises in need of robust analytics and reporting capabilities, especially those that are part of an IBM ecosystem. While it may have a steeper learning curve than some other BI tools, its extensive functionality and scalability make it suitable for large organizations with complex data needs.

Why this product is good

  • IBM Cognos is a comprehensive business intelligence and performance management software suite that offers a wide range of tools for reporting, analysis, scorecarding, and monitoring of events and metrics. Its features are designed to provide users with the ability to explore data, create integrated reports, and access critical business insights. Additionally, Cognos offers flexible deployment options, strong integration capabilities with various data sources, and a robust set of visualization tools. For organizations already using IBM products or those with complex data environments, Cognos can offer a seamless and powerful solution.

Recommended for

  • Large enterprises
  • Organizations already using IBM products
  • Businesses looking for extensive and customizable reporting
  • Users needing advanced analytics and data integration capabilities
  • IT departments with the capacity to manage a sophisticated BI tool

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Cognos videos

+ Add

NYOBA Buat VIDEO Youtube Pakai Kamera 700RB AN | REVIEW COGNOS C24

More videos:

  • Review - QUICK REVIEW!!!SMARTWATCH COGNOS Y1!RACUN!!!!
  • Review - COGNOS C24 Mirrorless REVIEW

Category Popularity

0-100% (relative to Jupyter and Cognos)

Jupyter

Cognos

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Analytics
0 0%
Analytics
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Business & Commerce
0 0%
Business & Commerce
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 Jupyter and Cognos

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

Cognos Reviews

15 Best ETL Tools in 2022 (A Complete Updated List)
It has a special feature of multilingual support using which it can create a global data integration platform. IBM Cognos Data Manager automates business processes and it supports Windows, UNIX, and Linux platforms.
Source: www.softwaretestinghelp.com
16 Top Big Data Analytics Tools You Should Know About
IBM Cloud is a set of cloud computing services from IBM. It combines the Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It offers over 190 cloud services. IBM’s popular AI cloud platforms are Watson Analytics and Cognos Analytics. IBM Watson delivers services such as machine learning, natural language processing (NLP), and visual recognition.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 216 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.

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 3 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 4 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / about 1 year ago
View more

Cognos mentions (0)

We have not tracked any mentions of Cognos yet. Tracking of Cognos recommendations started around Mar 2021.

What are some alternatives?

When comparing Jupyter and Cognos, 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.

Histats - Start tracking your visitors in 1 minute!

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

AFSAnalytics - AFSAnalytics.

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