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  5. Metabase vs QlikView

Metabase vs QlikView

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

Metabase vs QlikView: What are the differences?

## Key Differences between Metabase and QlikView

1. **Licensing Model**: Metabase is an open-source tool available for free, while QlikView requires a license for usage, making it a more costly option for organizations.
2. **Data Visualization Capabilities**: QlikView provides more advanced and interactive data visualization features compared to Metabase, allowing for more sophisticated data analysis and insights.
3. **Data Connectivity**: Metabase has limited data connectivity options compared to QlikView, which offers a wide range of connectors to various data sources, including databases, APIs, and more.
4. **User Interface**: QlikView has a more user-friendly and intuitive interface, making it easier for users to navigate and analyze data, while Metabase may require some technical expertise to fully utilize its capabilities.
5. **Scalability**: QlikView is known for its ability to handle large datasets and complex analytics projects efficiently, making it a preferred choice for organizations with extensive data processing needs, whereas Metabase may struggle with scalability in such scenarios.
6. **Community Support**: Metabase has a strong community of users who actively contribute to its development and provide support, whereas QlikView may have a more limited community presence, impacting the availability of resources and assistance for users.

In Summary, Metabase and QlikView differ in terms of licensing model, data visualization capabilities, data connectivity, user interface, scalability, and community support.

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Detailed Comparison

QlikView
QlikView
Metabase
Metabase

It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making.

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.

Advanced Data Prep; Dashboarding
-
Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
67
Stacks
928
Followers
61
Followers
1.2K
Votes
0
Votes
271
Pros & Cons
No community feedback yet
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
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to QlikView, Metabase?

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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