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  5. Qlik Sense vs Redash

Qlik Sense vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0

Qlik Sense vs Redash: What are the differences?

Introduction

Qlik Sense and Redash are two popular business intelligence tools that are used for data visualization and analysis. Despite having similar purposes, they have key differences that set them apart from each other.

  1. Data Sources and Connectivity: Qlik Sense allows users to easily connect to a wide range of data sources, including databases, files, and cloud services, making it versatile for various data integration needs. On the other hand, Redash offers limited connectivity options, primarily focusing on databases and some third-party services, which may restrict the types of data sources users can work with.

  2. User Interface and Dashboard Design: Qlik Sense provides a user-friendly drag-and-drop interface for creating visually appealing and interactive dashboards without the need for extensive coding skills. In contrast, Redash requires users to write SQL queries to generate visualizations, which may be challenging for non-technical users and limit the flexibility in dashboard design.

  3. Collaboration and Sharing Features: Qlik Sense offers robust collaboration features, allowing multiple users to collaborate on the same dashboard in real-time and share insights easily with others within the organization. Redash, on the other hand, does not provide as extensive collaboration capabilities, making it less suitable for teams that require frequent collaboration on data analysis projects.

  4. License and Pricing Model: Qlik Sense follows a subscription-based pricing model, where users pay for licenses based on the number of users and features required. In contrast, Redash is an open-source tool with a self-hosted option, making it a cost-effective choice for organizations that prefer a free or self-managed solution.

  5. Customization and Extensibility: Qlik Sense offers extensive customization options, allowing users to create custom themes, extensions, and integrations to tailor the tool to their specific needs. Redash, while customizable to some extent, has more limitations in terms of extensibility and may not provide as much flexibility for advanced customization.

  6. Scalability and Performance: Qlik Sense is known for its enterprise-level scalability, capable of handling large amounts of data and complex analytics tasks efficiently. Redash, while suitable for smaller-scale projects, may face limitations in performance and scalability when dealing with extensive datasets or high user volumes.

In Summary, Qlik Sense and Redash differ in terms of data connectivity, dashboard design, collaboration features, pricing model, customization options, and scalability, making each tool better suited for specific use cases and user preferences.

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Detailed Comparison

Redash
Redash
Qlik Sense
Qlik Sense

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.

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.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
-
Statistics
Stacks
338
Stacks
122
Followers
502
Followers
100
Votes
12
Votes
0
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack
No integrations available

What are some alternatives to Redash, 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.

Shiny

Shiny

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.

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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