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  5. Apache Zeppelin vs QlikView

Apache Zeppelin vs QlikView

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Apache Zeppelin
Apache Zeppelin
Stacks190
Followers306
Votes32
GitHub Stars6.6K
Forks2.8K

Apache Zeppelin vs QlikView: What are the differences?

1. Architecture: Apache Zeppelin is an open-source web-based notebook providing data ingestion, data discovery, visualization, sharing, and collaboration features. In contrast, QlikView is a business intelligence tool that integrates data from various sources for visualization and analysis in a single application, providing a more centralized approach to data analytics.

2. Language Support: Apache Zeppelin supports multiple programming languages like Python, SQL, Scala, and R for data analysis and visualization. On the other hand, QlikView uses its proprietary scripting language called Qlikview Script to interact with its in-memory data model, limiting the language flexibility compared to Zeppelin.

3. Community and Support: As an open-source project, Apache Zeppelin has a robust community backing it, providing continuous development updates and support forums for users. In contrast, QlikView is a commercial tool, which means support is typically offered by the company through licensing agreements, with limited community support.

4. Data Integration and Connectivity: Apache Zeppelin offers integration with various data sources and databases, allowing users to connect, process, and visualize data from different sources seamlessly. QlikView also supports data integration from multiple sources; however, it is more focused on analyzing data stored within its in-memory data model.

5. Scalability: Apache Zeppelin can be used for small to large-scale data analysis projects, with the ability to scale horizontally and vertically based on the user's requirements. In comparison, QlikView provides scalability options but may face challenges in handling extremely large datasets or complex analytics tasks due to its architecture limitations.

6. Licensing Model: Apache Zeppelin is licensed under the Apache License, making it free to use and modify for both personal and commercial purposes. On the contrary, QlikView operates on a commercial licensing model, requiring users to purchase licenses based on the number of users or CPU cores, which can be a limiting factor for organizations with budget constraints.

In Summary, Apache Zeppelin and QlikView differ in their architecture, language support, community engagement, data integration capabilities, scalability, and licensing model.

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Detailed Comparison

QlikView
QlikView
Apache Zeppelin
Apache Zeppelin

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.

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Advanced Data Prep; Dashboarding
-
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
2.8K
Stacks
67
Stacks
190
Followers
61
Followers
306
Votes
0
Votes
32
Pros & Cons
No community feedback yet
Pros
  • 7
    In-line code execution using paragraphs
  • 5
    Cluster integration
  • 4
    In-line graphing
  • 4
    Multi-User Capability
  • 4
    Zeppelin context to exchange data between languages
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
Cassandra
Cassandra
Apache Spark
Apache Spark
R Language
R Language
PostgreSQL
PostgreSQL
Elasticsearch
Elasticsearch
HBase
HBase
Hadoop
Hadoop
Apache Flink
Apache Flink
Python
Python

What are some alternatives to QlikView, Apache Zeppelin?

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.

Jupyter

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

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.

Deepnote

Deepnote

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

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.

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