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  5. Metabase vs Qlik Sense

Metabase vs Qlik Sense

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks927
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0

Metabase vs Qlik Sense: What are the differences?

Introduction

Metabase and Qlik Sense are both popular business intelligence tools used for data visualization and reporting. While they serve the same purpose, there are key differences between the two platforms that make them unique in their own ways.

  1. User Interface: Metabase is known for its sleek and user-friendly interface that focuses on simplicity and ease of use, making it suitable for beginners and non-technical users. In contrast, Qlik Sense offers a more sophisticated and feature-rich user interface with powerful customization options, catering to advanced users and data analysts who require more flexibility in their data analysis.

  2. Open Source vs. Proprietary Software: Metabase is an open-source BI tool, which means it is free to use and allows users to modify and customize the code according to their needs. On the other hand, Qlik Sense is proprietary software with licensing fees, offering dedicated support and regular updates from the vendor.

  3. Data Connectivity: Qlik Sense provides a wide range of data connectivity options, allowing users to connect to various data sources seamlessly. In comparison, Metabase has limited data connectivity options out of the box, but users can extend its functionality through plugins and custom configurations.

  4. Collaboration and Sharing: Qlik Sense offers robust collaboration features, enabling multiple users to work on the same dashboard concurrently, share insights, and comment on data visualizations in real-time. Metabase, while allowing sharing of dashboards and reports, lacks advanced collaboration tools and real-time interaction capabilities.

  5. Ad Hoc Querying: Qlik Sense excels in ad hoc querying and exploration, allowing users to dynamically analyze and visualize data on the fly without predefined reports or dashboards. Metabase, while providing some ad hoc querying capabilities, may not be as intuitive or powerful as Qlik Sense in this aspect.

  6. Deployment Options: Qlik Sense offers both on-premises and cloud-based deployment options, giving users flexibility in choosing the deployment model that suits their requirements. Metabase primarily focuses on self-hosted deployments, although there are third-party cloud hosting options available.

In Summary, Metabase and Qlik Sense differ in terms of user interface, open-source vs. proprietary software, data connectivity, collaboration and sharing capabilities, ad hoc querying features, and deployment options.

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Detailed Comparison

Metabase
Metabase
Qlik Sense
Qlik Sense

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.

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
GitHub Stars
44.4K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
927
Stacks
122
Followers
1.2K
Followers
100
Votes
271
Votes
0
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
No integrations available

What are some alternatives to Metabase, Qlik Sense?

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.

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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