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  5. Qlik Sense vs Shiny

Qlik Sense vs Shiny

OverviewComparisonAlternatives

Overview

Shiny
Shiny
Stacks208
Followers228
Votes13
Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0

Qlik Sense vs Shiny: What are the differences?

Qlik Sense and Shiny are both powerful data visualization tools used for creating interactive dashboards and reports. However, there are several key differences between the two platforms that set them apart.
  1. Data Integration and Connectivity: Qlik Sense offers a wide range of built-in connectors that allow users to easily connect and integrate data from various sources such as databases, spreadsheets, and APIs. On the other hand, Shiny relies on the R programming language and its associated ecosystem for data integration, requiring additional coding and packages for connecting to different data sources.

  2. Ease of Use and User Interface: Qlik Sense provides a user-friendly drag-and-drop interface that allows users with little or no coding experience to create visualizations and build interactive dashboards. In contrast, Shiny requires more advanced programming skills, as it is based on the R language and requires writing code to create visual elements and define interactivity.

  3. Flexibility and Customization: Qlik Sense offers a wide range of pre-built visualizations and chart types that can be easily customized using a user-friendly interface. Additionally, it allows users to create custom expressions and calculations to perform complex data analysis. On the other hand, Shiny provides greater flexibility and customization options, as it is built on the R language, allowing users to leverage the extensive capabilities and packages of R to create highly customized visualizations and analytics.

  4. Deployment and Scaling: Qlik Sense provides a scalable enterprise-grade platform that allows users to deploy their applications on-premises or in the cloud. It supports multi-node deployments, load balancing, and high availability, making it suitable for large-scale deployments. In contrast, Shiny is primarily designed for smaller-scale deployments and may require additional configuration and infrastructure setup to achieve high availability and scalability.

  5. Collaboration and Sharing: Qlik Sense offers built-in collaboration features that allow users to share their dashboards, reports, and data stories with others. It provides options for collaboration, publishing, and distribution, enabling users to easily share insights with stakeholders. Shiny, on the other hand, primarily focuses on individual development and may require additional setup and configuration to facilitate collaboration and sharing.

  6. Cost and Licensing: Qlik Sense offers various licensing options, including free versions for personal use, as well as enterprise licenses for commercial use. The cost and licensing structure of Qlik Sense may vary based on the deployment and usage requirements. Shiny, on the other hand, is an open-source framework and is available for free to use, making it a cost-effective option for organizations with limited budgets.

In Summary, Qlik Sense provides a user-friendly interface, extensive data integration capabilities, and scalable deployment options, while Shiny offers greater flexibility and customization options, collaboration and sharing features, and a cost-effective solution for small-scale deployments.

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Detailed Comparison

Shiny
Shiny
Qlik Sense
Qlik Sense

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

It helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction.

Statistics
Stacks
208
Stacks
122
Followers
228
Followers
100
Votes
13
Votes
0
Pros & Cons
Pros
  • 8
    R Compatibility
  • 3
    Free
  • 2
    Highly customizable and extensible
No community feedback yet

What are some alternatives to Shiny, Qlik Sense?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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