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Qlik VS Deepnote

Compare Qlik VS Deepnote and see what are their differences

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Qlik logo 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.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Qlik Landing page
    Landing page //
    2023-06-28
  • Deepnote Landing page
    Landing page //
    2023-10-09

Qlik features and specs

  • Data Integration
    Qlik offers powerful data integration capabilities, allowing users to pull in data from multiple sources, clean it, and prepare it for analysis. This is particularly useful for organizations dealing with diverse datasets.
  • Associative Data Engine
    Qlik's unique associative data engine enables users to explore data freely, without the limitations of traditional hierarchical or query-based models. This feature ensures that all data relationships are maintained and accessible.
  • Interactive Visualizations
    Qlik provides highly interactive and customizable visualizations, making it easier for users to derive insights and share findings. The visualizations are intuitive and can be tailored to meet specific business needs.
  • AI Capabilities
    The platform includes AI-driven features like Insight Advisor, which helps users uncover insights and generate analytics automatically. This reduces the learning curve and makes advanced analytics more accessible.
  • Scalability
    Qlik is designed to scale from small teams to large enterprises. It supports both on-premises and cloud deployments, making it flexible to meet various business sizes and infrastructure preferences.

Possible disadvantages of Qlik

  • Complexity in Initial Setup
    The initial setup and configuration of Qlik can be complex and time-consuming, often requiring specialized knowledge or professional services to get started effectively.
  • Cost
    Qlik can be expensive, especially for smaller businesses. The cost includes not just licensing fees but also potential expenditures on training, deployment, and maintenance.
  • Learning Curve
    Although Qlik offers a powerful feature set, there is a steep learning curve for new users. Mastering the platform's full capabilities can take significant time and effort.
  • Performance Issues
    In some instances, users have reported performance issues, particularly when dealing with extremely large datasets or complex queries, which can hinder real-time analysis.
  • Limited Third-Party Integration
    While Qlik does support integration with various third-party tools, it may not be as extensive as some other analytics platforms. This can limit its usefulness in a highly diversified technology stack.

Deepnote features and specs

  • Collaborative Features
    Deepnote allows for real-time collaboration, similar to Google Docs, where multiple users can work on the same notebook simultaneously without conflicts.
  • Integration with Popular Tools
    Deepnote integrates seamlessly with popular data sources and tools such as Google Drive, GitHub, and SQL databases, enhancing its versatility for data science projects.
  • User-Friendly Interface
    The interface is clean and easy to navigate, making it accessible for both beginners and experienced data scientists.
  • Cloud-Based
    Being a cloud-based solution, Deepnote eliminates the need for local setup and maintenance, allowing users to access their projects from anywhere with internet access.
  • Data Security
    Deepnote provides robust security features, ensuring that your data and notebooks are protected against unauthorized access.
  • Integrated Version Control
    Version control within Deepnote allows users to track changes, revert to previous versions, and collaborate more effectively on shared projects.

Possible disadvantages of Deepnote

  • Limited Offline Access
    As a cloud-based platform, Deepnote requires an internet connection for most of its functionality, which can be a limitation for users needing offline access.
  • Performance Constraints
    Heavy computational tasks might be limited by the performance capabilities of the cloud resources provided, affecting users who require extensive computational power.
  • Subscription Costs
    While there is a free tier, advanced features and increased resource limits come at a subscription cost, which might be a consideration for students or hobbyists.
  • Learning Curve for Advanced Features
    While basic functionality is user-friendly, mastering the more advanced features and integrations may require a learning curve, especially for users new to data science tools.
  • Dependency on External Infrastructure
    The performance and availability of Deepnote can be affected by issues with their cloud service providers, which adds a layer of dependency on external infrastructure.

Analysis of Qlik

Overall verdict

  • Qlik is generally considered a good choice for data visualization and business intelligence needs.

Why this product is good

  • ["flexibility", "Qlik's platform allows for self-service data discovery, guided analytics, and embedded analytics."]
  • ["integration", "Qlik integrates well with various data sources, making it versatile for diverse data environments."]
  • ["user_friendly", "Qlik offers an intuitive interface that caters both to advanced users and beginners."]
  • ["active_community", "There is a strong community of Qlik users and developers who contribute to forums and share solutions."]
  • ["powerful_analytics", "It provides robust analytics capabilities with associative data indexing, which lets users easily explore data."]

Recommended for

  • Businesses seeking a comprehensive business intelligence tool.
  • Users who require a highly flexible, self-service analytics environment.
  • Organizations that need to integrate a wide array of data sources.
  • Companies looking for strong visual analytics capabilities.

Analysis of Deepnote

Overall verdict

  • Deepnote is an excellent tool for data scientists, particularly those who value collaboration and need interactive, shareable notebooks. Its user-friendly interface and powerful integration capabilities make it a strong contender in the data science notebook space.

Why this product is good

  • Deepnote is a collaborative data science notebook designed to enhance productivity and simplify the data science workflow. It offers real-time collaboration, similar to Google Docs, making it easier for teams to work together efficiently. It supports various programming languages and integrates seamlessly with popular tools such as Jupyter notebooks, Git, and cloud storage services. Deepnote also provides a strong focus on data visualization and interactive dashboards, making it easier to interpret and present data insights.

Recommended for

  • Data scientists who work in teams and need a collaborative environment.
  • Professionals who require seamless integration with existing tools and cloud storage.
  • Users who prioritize interactive data visualization and interpretability.
  • Educators looking for an accessible platform to teach data science concepts.

Qlik videos

+ Add

A Day in the life of a Qlik Cloud User

More videos:

  • Demo - Qlik Sense Product Tour

Deepnote videos

+ Add

Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to Qlik and Deepnote)

Qlik

Deepnote

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
AI
0 0%
AI
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 Qlik and Deepnote

Qlik Reviews

10 Best Alternatives to Looker in 2024
Qlik: Qlik sets itself apart with its associative analytics engine, enabling users to uncover trends and patterns through intuitive exploration without predefined queries. This offers a more flexible and dynamic analytical process.
Source: www.sigmacomputing.com
Top 11 Fivetran Alternatives for 2024
Qlik provides three data integration products - Stitch (covered under Stitch) Talend Data Fabric (covered under Talend) and Qlik Replicate, which was originally Attunity. Qlik Replicate has both on-premises and cloud replication deployment options for streaming real-time data.
Source: estuary.dev
The 7 Best Embedded iPaaS Solutions to Consider for 2024
Description: Qlik offers a range of integration capabilities that span four product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across major databases, data warehouses, and Hadoop. The portfolio is buoyed by Qlik Compose for data lake and data warehouse automation and Qlik Catalog for...
Source: solutionsreview.com
25 Best Reporting Tools for 2022
QlikView is a classic Reporting Tool that provides analytical solutions and allows you to develop appealing visualization from the data. It is an Enterprise Tool that converts raw data into a meaningful format. Some features of QlikView are as follows:
Source: hevodata.com
Top 10 Visual Analytics Provider For 2021
With some of the most sophisticated array of visualisations, Qlik is a pioneer in visualisation analytics software. With Qlik Sense and QlikView, it helps with a wide range and unorthodox ways of presenting data. Its ‘associative analytics engine’ in Qlik Sense moves away from a query-based approach and lets you explore data without any limitations. The engine lets you...
Source: analyticsindiamag.com

Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Deepnote seems to be a lot more popular than Qlik. While we know about 34 links to Deepnote, we've tracked only 1 mention of Qlik. 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.

Qlik mentions (1)

  • GME FTD - Moving Daily Avg.
    All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: about 4 years ago

Deepnote mentions (34)

View more

What are some alternatives?

When comparing Qlik and Deepnote, you can also consider the following products

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.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

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.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

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

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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