Apache Zeppelin

Apache Zeppelin is a web-based notebook solution developed by the Apache Software Foundation. According to the vendor, this software is designed to facilitate data-driven, interactive data analytics, and collaborative document creation. It offers a user-friendly interface that supports various programming languages, including SQL, Scala, Python, R, and more.

Key Features

Web-based notebook: According to the vendor, Apache Zeppelin enables users to perform data-driven, interactive data analytics, and collaborate on documents through its web-based notebook interface.

Support for multiple languages: The vendor claims that Apache Zeppelin supports multiple language backends, including Apache Spark, Apache Flink, Python, R, JDBC, Markdown, and Shell. Users can switch between different languages to perform data processing and analysis.

Apache Spark integration: According to the vendor, Apache Zeppelin provides built-in integration with Apache Spark, eliminating the need for separate modules or libraries. It automatically injects SparkContext and SQLContext, allows runtime jar dependency loading, and provides job cancellation and progress display.

Data visualization: Apache Zeppelin includes basic charting capabilities for visualizing data. According to the vendor, it supports pivot charts, allowing users to aggregate values and create charts with multiple aggregated values such as sum, count, average, min, and max.

Dynamic forms: The vendor states that Apache Zeppelin can dynamically create input forms in notebooks, making it easier to interact with data. Users can define dynamic forms to capture user input and use it in their data analysis and visualization tasks.

Collaboration features: According to the vendor, Apache Zeppelin allows users to share their notebooks with collaborators by providing a notebook URL. Real-time collaboration is supported, enabling multiple users to work on the same notebook simultaneously.

Multi-user support: The vendor claims that Apache Zeppelin supports multi-user environments and can be configured with LDAP for user authentication. It can be deployed in a multi-user mode, facilitating collaboration on data analytics projects.